Kaisha: All right.
It's Thursday at 4:20 PM.
Eastern.
That means it's time for office hours, a Roy's weekly session for
cultivators, so that you can hear from experts and talk to each other about
what they're seeing with their grows.
My name is Kaisha.
I'll be moderating solo today while my co may moderating Mandy's on vacation.
We miss you Mandy.
But looking forward to her coming back soon as always, if you are live with
us, have any questions, you can feel free to type it in the chat at any time.
And if your questions.
Picked we'll have you either unmute yourself or I can ask for you.
We're also fielding questions from you.
Two live, welcome to everybody out there, and you're welcome
to post your questions there.
Don't forget to like, and subscribe while you are there.
First time question askers, get swag, everyone on today, we'll have
a chance to win a limited edition around a t-shirt just like mine.
Just type in an email address into the chat.
And that will enter you into the raffle.
Seth and Jason.
How's it going?
Jason: Doing well, good
Kaisha: vacation.
Nice to see you guys.
We've been a lot of vacations lately.
Nice.
See you both in the same place at the same time.
yeah.
So, we're going to, we're a little light on social media questions this week.
And so it's a great opportunity to do a little deep dive on something you're
saying maybe with our clients, with what's what's going on with with that today.
What do you guys got going on over there?
Jason: So we're gonna talk a little bit about harvest group analytics.
So when when you're wrapped up with your cycle, What you can what you can
see, what you can look at document analyze to get a better idea of how
well that cycle performed based on the, the data that you've been capturing.
Seth: Yeah, absolutely.
I mean, you know, Roy is not just about monitoring your day to day
functionality and your grow a big part of it is logging that.
So we can look back at the end of around and look at, you
know, holistic crop performance.
Where did we mess up?
What were some of the challenges we had.
And, you know, what, what can we actually pinpoint in this whole time period
that might help us look at, you know, where we can make some improvements.
It's, it's really important to look back at a whole run, not just
focus on your day to day decisions.
Jason: So without further ado, I'll share my screen here.
I've got got our interface going and we will talk to you guys about what
what kind of features here are in.
The analytics page.
So kind of just to get started, there's a few ways to get
to harvest group analytics.
If we jump into our production, we can go into the analytics of, of
currently growing ones for talking about all the features here, we're
gonna go into some that are finished up and take a look at the data that
we summarize for those harvest groups.
So let's just jump into some banana O.
Looks like we've got pineapple express and Jenny's test in here.
So one of the most important things to get harvest group analytics, when you're
building your harvest group, make sure that you've got the cultivars outlined
on the benches or the, the zones.
So when we look at this flower room, we can see our banana OGs in zone
one, by now express the zone two in Jenny's test zone three and four.
This is what's going to populate your substrate data
into the specific cultivars.
And what we're doing that for is just to make sure that we can separate any of
the, the performance that we might see in, in the different genetics in the room.
So make sure that we get those all populated when we're building our harvest.
One of the easiest ways to know that you haven't done that is you may or
may not see water content and EC data right here in our environment tab.
If if we didn't populate what zones or detail, what zones
those cold fires are running.
So for today's topic, let's jump into this analytics page and we'll take
a look and see what information is provided after we've done the grow cycle.
So if we just start off at the top, it gives us a little bit of a summary
of our recipe talking about how long we ran each of the stages of.
And then if we go down here, we can see our, our wet weights and our dry weights.
And we can go jump in just to the, the yield analytics, which
we'll see down here at the bottom of this page in just a minute.
And then there's also the gallery, which.
Looks like someone's been putting some stock photography in this harvest script,
not, not the best representative of, of what our plants look like for that.
But yeah, this is obviously in our, our demo facility where we do a little bit
of plan around on the software side.
So when we're looking at this cultivation schedule, we can break it down and
get an idea of how many tasks and when these tasks are getting done.
So this is kind of a good way you can visually see.
How much, you know, labor is going on specific days.
Hopefully y'all are using the tasking feature for any of the transplanting,
any of the IPM events, any pruning type of strategies, tagging strategies,
really, whatever that whatever you wanna benchmark as a point in
time that work needs to get done.
The next up is the alert.
So this alerts overview is a really nice way to think about.
When you do struggle to stay within the parameters of your environment
and or irrigation behaviors.
So, you know, maybe when, you know, after we do a pruning, it's hard for us to keep
our humidity high enough in the room.
Any of those types of things.
And obviously when you're looking from harvest group to harvest
groups, it's nice to, to recognize any specific points in time that you
do typically see alerts go off and.
That that'll kind of give you an idea of when we need to dig in and
understand what what we can improve upon.
Obviously this one doesn't have any alerts, so that's really nice
to see we made it the whole cycle without getting an emergency text
message telling us we're out range.
The sticks.
One said the target ranges and here we have EC display.
You can go ahead and select any of the parameters, the data parameters that are
being captured from the AOR system there and, and take a look and see how close
to those target ranges that you state.
Throughout that harvest group.
So the yellow box in this case and the outside is gonna be the target ranges.
We can see that adjust throughout the different phases of the grow cycle.
And then we can see the average for the room is the, the data line in the middle.
And this one, we did a pretty good job towards the end.
We looks like we forgot to drop the EC, like we had intended to
do to satisfy our recipe targets.
And then one of the most important things here as well is it tells us how
long we were outside of that range.
So in this case, our UC spent 15 days outside a range, right?
If we jump into something like air temperature, This is 64 days.
So we, we really struggled with our, our air temp.
On this one, we can see, obviously our, our target ranges were quite a
bit tighter than we could actually run with the equipment in that room.
And so that's, what's going collaborate to that that time outside of range.
Ideally, you're gonna have zero time outside of your target ranges.
And I guess this is a great time to talk about the difference
between alerts and target ranges.
So, target range is the ideal.
Parameter that we're trying to keep any of our variables within.
So that's like the golden standard, whereas an alert range is, needs to be
set with a little bit of bandwidth so that you know, if, if something's just a
little bit screwy, you're not getting text messages, but if equipment failure happens
or someone does a set point incorrectly, then you'll definitely get notified.
Seth: Yeah.
And, and that's honestly too, where when you're setting up those target ranges, it
is best practice, honestly, to have, if you can two screens, but two tabs open.
So you can kind of go back and look at your dashboard and start establish,
establishing realistic parameters.
You know, if I go ahead and say, all right, analytically, I want to
keep 80 to 82 in early flower, but.
My chart looks a little more like the one Jason's displaying here.
I might go ahead and say, all right, I'm definitely gonna set that alert range.
Well, outside of my analytical range, because I do not want
to start ignoring those alerts.
Jason: Yeah.
And that that's kind of the best way to make sure your alert, target ranges are
tailored correctly is go back and look at the harvest group that you didn't have any
equipment failures or any mistakes happen.
And, and look at what you can typically achieve when, when you are meeting
the, the ranges that you like to.
Seth: Yeah, absolutely.
And honestly, I think that it's a great way to go back and look at your data
for any one parameter over the whole run and identify, especially with the
time counter, you know, a big issue.
I find a lot of people running into is let's say water content in rockwool.
It's like, man, I am just struggling with these yields.
I can't get above like two pounds of light and we'll go back and look
and say, okay, your water content's been relatively low the whole time.
That's one of the key fundamental things that a plant needs to grow.
If we've limited that over, you know, if we've spent 64 days below our
water content goals, for instance, we can start to expect to see a pretty
quantifiable reduction in yield.
So we can actually look, you know, backward in time and start to quantify
how much we might expect to gain from making certain adjustments.
Especially if we have the data of a good run versus a bad run to compare
it to, we can really parse out like, okay, we've eliminated most of the
variables that time outside range for EC or water content seems to be the
biggest variable we're working with.
Let's attack that next.
Jason: Exactly.
And we'll just move into the next section here.
So, plant development, looking at the entire cycle, this is where we're
displaying some of the manual readings.
And obviously if you've listened to this show very much, we talk
about canopy height quite a bit when indicating how long we should be
running different steering techniques.
So.
This is a great way to just kind of visualize what happened as
far as those manual readings go.
This case, we can see our, our canopy height.
Definitely weighed off right there about, you know, looks like April 29th.
It kind of started slowing down.
And that's usually when we'll flip back to vegetative bulking.
So, notes, pacing, another good good metric to take in there and then stem
diameter kind of just a good idea to keep track of that and see what it looks
like in relationship to the, the steering parameters that you're pushing onto that.
And then our past, go ahead, Kaisha.
Kaisha: I was actually, this is amazing.
I just wanna, I'm just applying this to my mind.
I'm a consumer, mostly, I've got two little babies in the back.
I'm trying to grow, but I'm nowhere near anybody else's level on here, but
I'm just wrapping my head around this.
So if I'm a cultivator, I have like an award-winning cultivar.
It's my number one seller.
And I wanna make sure I wanna ensure that it is grown properly
for the consistency, the.
Reliable potency every single time.
These analytics are really what I'm looking at to determine what
works and what I can, what I need to be doing, going forward.
What I need to adjust going forward is that.
Jason: Yeah, absolutely.
And when we talk about things like manual readings, there are
some really crucial points of time when you should be capturing that.
So when you're coming out of veg, definitely make sure you've
got your, your plant height.
And that's one of the indicators where we know, Hey, we're on our, our bed
schedule to Hit the appropriate size plant that we need for our yields or, or
maybe you're behind it or ahead of it.
And you can make adjustments to stay within projectability of
your, your crop yields coming
Seth: out of there.
Oh, absolutely.
And we can also start to look at, like, for instance, if your canopy
height, one run to the next was 14 inches or centimeters taller
yet your yield was the same.
Then we can start dialing.
Okay.
We can probably shorten up our veg time then.
Sure.
We can go with a smaller plant.
I mean, we, we have a lot of options to look back on, and this is a good
way to evaluate that performance.
Because again, we say it all the time, everything is so cyclical, you
know, at pretty much any cannabis growth facility and you're growing
the same strains over and over.
It just gets to be a lot of really specific information to keep track of.
And if you've got an easy way to organize it, you can quickly go back and look and.
Validate your decisions or decide you're gonna make a different one.
Jason: Exactly.
Next up just IPM application.
It's just charting when those were happening over the, over the growth cycle.
So, looks like two more than usual.
Maybe we had a little bit higher pest pressure.
During this, this cycle, we also look at waste amounts.
So if you are metric integrated, you're tracking the, the waste
amounts from those plants.
So we can note when that.
Mixed up in this analytics, just sensor readings great way to look
at the specific sensor spread of any of those sensor types.
So nice way to just break out a, a harvest group and then take a look at anything
specifically that you'd like to take a look at, and we can also zoom into a.
These parameters.
And what we'll notice is we've got a solid line in the middle, which
is gonna be the room average for the sensors that are getting displayed.
And then we've got kind of a shaded band talking about the,
the variation from, from low to, to highest sensor data points.
Seth: Yep.
So over time for any specific cultivar we're growing, we wanna see
that shaded van shrink and shrink.
We want our crop to get more and more consistent.
If, and I mean, obviously you could look at this in numbers as well, but the
shaded highlighter line is a really nice way to just get a quick visual snapshot
at how consistent your rooms are being.
Especially if you wanna go back over time and say, okay,
here's my first run with Arro.
We had a pretty wide confidence band there.
And then, Hey, look, we can quantify each runt.
We're getting it that much closer to being very, you know, perfectly consistent
and nothing's ever gonna be perfect.
you're never, if we zoomed in far enough, there would still be that shaded
line there outside of the solid line.
But.
Again, quick glance.
You can really start to tone in on, okay, what am I struggling
the most with in this room?
Cuz sometimes it's not always what people think.
You know?
I mean, sometimes you've got a lot of things nailed down and you're like,
wow, my environment's wonderful.
Now we're just looking at plant size and pruning, you know, trying to
get consistency in the structure.
Otherwise everything else might be really, really nice.
Jason: Yeah.
And you know, one of the things that is so wonderful about looking
at a confidence interval is when we talk about population statistics, we
know that we're sampling a certain amount of plants in that room, right.
If we've got a good, good number of sensors in there, then we should
expect that if we go monitor any plant, it's gonna be landing within within
that confidence interval that we see.
So.
Exactly.
Like Seth said, the, the more we can shrink that the more uniform our
crop is, is performing in that cycle.
And then next up just to yield breakdown.
So this is kind of cool because we can look at different options yield by
plant yield by square foot, total yield.
And then we get to take a look and see how much moisture loss we had in this cycle.
How much dry weight.
Came out of that product and how much waste comes out there as well.
So obviously efficiency is a great way to keep track of how much biomass
that you create as fast as possible.
So if we are able to cut our cycle down a little bit, we're gonna see
greater yield per square foot per day.
So obviously the constraints of any manufacturing here is the facility size
and the time that we're growing it.
So if we can get more yield, we can grow things faster or increase our density of,
of, of planting so that we get more weight
Seth: off there.
Absolutely.
And if you could, Jason, could you go over, I guess on this version of the
demo, we don't have the yield section, but I would like to do a quick preview of
the non metric integrated yield section in production, because that is one thing
that it's kind of tough, you know, you're usually you get your wet weight when you
harvest, that's easy to put in and then two weeks later you get your dry weights
or more, depending on how you buck down and how you weigh your finished product.
If you're going on the stem off the stem.
So a lot of times it's really easy to pass that.
And I just wanna note that for all of our customers that aren't using metric,
it's absolutely critical to record at least your wet weight and ideally your
dry weight, even to populate some of the production group analytics, you know, and
that yield entry is actually really easy.
We're just going in for a basic wet and dry weight.
And typically what we wanna look at wet weight, that's
gonna be your harvest weight.
And it's pretty self-explanatory we got dry weight, flower, weight,
and trim rate, put trim weight.
One thing to remember is aro is taking wet versus dry for your wet to dry ratio.
So if you want your dry weight in analytics to represent, let's say
bucked bud, or finished bud, that's where you want that value to go.
And then otherwise as with everything, more data, more power in the future.
So log as much as you can over.
You know, you want as complete of a picture of what happened during
that grow cycle as possible.
And if we don't have the yield, we don't really have
the results to compare side to.
Jason: exactly.
And so let's just talk a little bit about some of the, the yield numbers and, and
why these choke points are so important.
When we look at wet weight, obviously we're analyzing the, you know,
the, the cultivation performance.
How, how well did those plants grow?
Are we at a little higher wet weight?
And then obviously the next step is the dry weight where we able
to retain more product simply through better drying practices.
Did we lose.
Did we lose more weight because maybe our plants weren't quite as dense as
far as the, the bud structures go.
What you know, what point did we have increase in performance or,
or a decrease in, in yield amount?
And obviously the sales goal is to have as much a, a class.
Flower as we can get out of there.
If we're doing a little bit different crop steering, we end up with a higher
trim weight and a lower flower weight.
Maybe that's not quite the, the route that we wanted to go with those crop steering.
So always think about every stage of the cycle and you know, how the different
parameters in crop steering affect
Seth: those stages.
Oh, absolutely.
I mean, I could show you some beautiful graphs all day and unfortunately, the
plants that grew from those were not what they, you know, the grower intended.
And usually that was just because of wrong timing and switching up of
steering techniques vegging too long.
I mean, there's, there's a whole host of things, but that
graph can still look beautiful.
And if we don't evaluate the finished product, we're not really
looking at the whole picture.
And that's really what matters in the end.
You know, I can sit here and tell you what I think your
graph should look like all day.
But if that did not produce the kind of product that you were
looking for, then it's kind of.
All for not, you know, there was no reason to really approach it if we
lost quality and, you know, potentially lost market share, for instance,
Jason: Yeah, so kind of zooming out and obviously we've got all these
different cycles that we're cataloging into the system and, and it's nice
to, to dig in and see, all right.
Here's how this one ran specifically.
Here's how, what this one ran specifically.
Let's talk a little bit about how we know which cycles to, to dig into.
Obviously, if it's, it's not just anecdotal, if you don't know
exactly which one you're looking at.
We could jump into our run analytics, or if we're trying to take a look at
cultivar specific type of information, we can go into our cultivar
profiles, our cultivars tab here.
So right now I'm looking at the run analytics and this one, we have some
options up to, to the top where we can sort each run by how it yielded per plant
per square foot, how long it ran and.
Then we can also categorize it by recipes.
So maybe if I had a little bit different crop steering recipe that I've tried
a few times, we can compare those and say, all right, well, when we're
running in our, our heart steering you know, let's say it's like, we,
we can name these, you know, the Ferrari recipe versus the Jeep recipe.
Well we know, Hey.
We're running there for your recipe.
Maybe it takes a little bit more work for our part, but every time
we run that we get 20% more yield.
So yeah, this list here is all the harvest groups and we can take a look and we
know what what we were running in there.
How many plants, what recipes we used, how many alerts?
Anytime we did IPM event, the duration.
Really just trying to give us an overview of what happened in
order to, to hit that wet weight.
So if I've got a whole list of this and I want to check in there and I can
sort by our wet weight, let's get the, the run with the highest wet weight.
And then take a look and see what type of parameters that we
ran in order to get that weight.
Was it the great, great genetics?
Well then let's jump into C our profiles.
Was it something that we did specific on purpose or is a mistake in
this harvest group to, to get that different yield and let's take a look
and see, you know, what happened?
Why, why did we get more, more out of that?
So that's where I like to dig in and say, all right, let's pick out specifically.
Good runs specifically bad runs.
And understand what effects made that such a successful or unsuccessful run.
Seth: Yeah.
And that's where, you know, we always stress on crop registration and
organized note taking that's, that's where this comes in, when you're looking
back and really trying to evaluate what happened on a great crop, you
want to capture every part of it.
And that part of that includes your plant height.
Any other manual readings you wanna take, including notes, basing stem, diameter,
and then, you know, going down the line and just taking as many notes as possible.
Take those pictures.
Record as much as you can.
That's how we can look back and really quantify this and evaluate it without
that little bit of information.
It may seem small on a daily basis, cuz you're just, it's 10
seconds or 30 seconds of your time to enter some of these readings.
But cumulatively, after you have failed to enter, let's say 60 of them or 63
throughout a growth phase, suddenly you're blind to a certain point that you had and
all you have then is kind of going well.
We, we did take some points.
We can make some basic assumptions on that, but.
Unless we really capture that we don't, we can't responsibly make certain
assumptions based on a lack of data.
. Jason: Yeah, that's a great point.
Some of our best clients are going in there every single day, taking a picture.
And it's really fun to go back and look at the growth cycle and they could say, Hey,
this is, you know, a specific spot maybe where we started seeing Herms going on.
Let's compare to the data and understand what might have induced that maybe we see
some Fox ceiling going on towards the end.
Let's check out our EC, our irrigation patterns that that might have been making.
That growth behavior, the way it was.
So we always encourage people, you know, have, have a team that when
they're in the room every day, take some, some notes on, you know, could
even just be a check mark where you're saying, Hey, everything looks good.
Let's take a picture.
And the wonderful thing about having that database of pictures is when you go to
run that cold fire again, and you kind of.
Visually what your expectations are, and if you aren't running a cultivar
very often, you can go back and make sure and say, Hey, our, our purple
punch is is doing that weird thing.
Did it do it last time as well?
Is that just how this genetic expresses itself or is something something goofy
going on that we need to correct in order to avoid that that visual appeal of the.
Seth: Oh, absolutely.
And even for continuity in your organization, you know, I've
definitely grown some strains that were in the facility when I came
in that behave strangely and it's first instinct is kind of freak out.
You're like, what is this plant doing?
Well, if I have a repository of information about that particular
culture, where I can look back and go, oh, This has done that regularly.
I don't need to freak out about that or this has happened, but also, you
know, this, like we have one strain that Foxtails, let's say, okay,
well every run that it's foxtail, man, we can't keep the temperature
under like 85 at the end of flower.
Like, okay, well there we go.
Or, Hey, everything was great.
And this thing still Fox tailed like, oh, well maybe it's
got kind of some undesirable traits then that we don't like.
And instead of wasting time trying to manipulate different variables, we might
just decide that's not a strain for us to.
Jason: Yeah anecdotally I was thinking about so like Kim, Kim dog, we used
to run and it it was varied so that sometimes every once in a while,
you'd have part of the half the leaf that that would be lighter in
colors and a little bit of striation.
and this is a great example where, you know, if it's first time you saw that in
the plant, we could go back and look at the history of it and we'd know that, you
know, it wasn't something like tobacco, mosaic virus, that's hitting the plant.
We just know that it's the properties of that genetic cuz
we've seen it historically as well.
So all this information going into to detail that the different cult
bars brings a ton of value to what you're doing on a daily basis.
Seth: Oh, yeah.
You know, I mean, there's certain stuff, especially in the cannabis
world, you know, I mean, we, when I get it cut, oftentimes I don't know
when that seed was popped, unless the person I got it from popped the seed.
Some of these might have been, you know, in propagation for many, many
generations, you know, 20 plus years.
So sometimes we do see things like just kinda like that slight variation, which
is generally a somatic mutation in that chem dog that it's susceptible to.
If you know that that's happening, just like Jason said, you can kind of
prepare for it and also go, okay, well, it, it does that and we've accepted it.
We're moving on.
Does that bother us as growers or does that bother the consumer?
And you can really start to narrow in, on some of those, those things,
especially just because again, cyclically so much happens that I don't, I don't
wanna say anyone has a bad memory, but it's really, really quick in a
commercial situation where almost anyone in this conversation here, you know,
growing 50, 60, a hundred thousand.
10 years in.
That was a long time ago.
that you hit that number, you know, so it's, it's all about that registration.
Kaisha: Knowledge really is power.
Isn't it?
I, I, this is so, comprehensive.
I actually was wondering, we get a lot of questions.
Oh, Michael, just ask question, Michael, make it to your question next, but we
get a lot of questions about ideal, like EC ranges, for example, can this
particular, the analytics tool kind of help people identify trends with
what's going on with their particular.
Seth: Yeah, absolutely.
Especially if you're, you know, keeping track of your plant health,
taking pictures, taking notes on anything strange that might happen.
And then also, you know, when you do take those notes, make sure you're complete,
you know, if you think it's a nutrient deficiency, do your spot, check that day,
check your feed, see, check your runoff, get as complete of a picture as you can.
Because as far as EC ranges go, that's something we're dialing
for every specific strain.
The range on 'em is quite wide and.
At the end of the day, I'll say it, they call it weed for a reason.
It's very adaptable.
I can take the same strain and actually grow it at two different EC levels.
And as long as I apply that EC in the right manner, I'm gonna
get a really similar result.
It's about adapting the plant to that.
And that's where we can start to kind of catalog this stuff.
We can say, okay, here was the graph we had.
Here's some pictures.
Here's the yield.
Here's our quality.
What, what can I deduce from that?
The higher EC run gave me better quality.
Cool.
I'm gonna go with higher EC the lower EC run gave me better yield.
And the same quality.
Cool.
We're gonna go at the lower EC run.
There are no hard, fast rules on EC, other than, you know, there, there are
some definite upward limits where you start to get to a point where a plant
can't actually live in that salty water.
But as far as basic ranges go, I mean, it's, it's very, very wide and
it has a lot more to do again about application of that EC over time
and how well you're adapting your plant to live in that environment.
Kaisha: One of our attendees posted question here, and Michael,
you're welcome to unmute yourself.
You wanna add to it, but he's asking if we can cover dry weight analytics
grams per square foot wet versus dry weight retention, et cetera.
Jason: Sure.
To it.
Should I bulb the interface here and we can show again?
Yeah.
All
Seth: just look at like facility performance and start going from there.
Touch on a little bit about how we gather these analytics and what
they mean when we're looking at it.
Jason: Yeah.
So, let's just get started obviously some of this yield information here, if we're
in the facility performance page, we can take a look at yields total per cycle per
total, per square foot, total per plant.
We can to do some by wet weight, dry weight waste amounts.
So, you know, as far as driveway specifically Obviously some
people do a little bit of different types of benchmarks.
When we talk about dry weight, you know, is it dry weight on stem?
Is it dry weight after we've bucked?
It does our dry weight include trim.
And that's something that we haven't necessarily made a clear
definition in the software.
It's and there's a good reason why, because we want you guys to keep doing it
the way that you have been tracking it.
So your, your yield information is consistently comparable
throughout, throughout the.
And so obviously when you do go in here, keep in mind with your staff,
how, how are they, they tracking this?
What, what, what is the reason that you're looking at that specific group of
Seth: weight, if you will.
Yeah.
And I mean, one thing to touch on really grants for square foot
or Roy is calculating that based on your zone square footage.
So that's looking at.
Basically how much yield you're reporting off of that room.
If we have one harvest group, one room, we're gonna take that total yield, divide
that by the number of actual canopy square feet, we have pull that number.
And then as far as wet versus dry retention, that's straight up that
ratio we're looking at at 102.
10 20, 30, whatever it ends up being.
That's, that's where that is being pulled from.
As far as drying goes, though, we do always try to point towards, and
it's a manual entry right now, water activity, as a marker of when your
plant is actually ready to come down.
And, you know, I mean also when we're talking about dry weight, when important
thing to remember is although we're using a water activity meter to really
determine when that plant is done.
That doesn't mean it's always done curing.
And part of that curing process is homogenization of moisture inside the bud.
So we're gonna have parts of the bud that are dryer parts of the bud
that are less dry that's partially.
Why.
Okay.
Maybe if we hit that 0.6 water activity, someone goes and tries to smoke that
bud part of it burns in the inside.
Doesn't very well while it's water on the inside.
So.
That's a very dynamic measurement that you want to take over time.
And although there might not be a lot of variation in it, we might
wanna expect it to stay at 0.6 over a long period of time, not return
to it and retest it and go, okay.
Now I've only got 0.5 after we've even out the content in this material.
So.
dry weight is very important.
Looking at your ratio as Jason saying earlier of, you know,
flower to trim, that's huge.
We're looking at that.
That's gonna make a lot of steering decisions for us and potentially
genetic decisions as well.
Jason: Oh, one of the things that I used to find is I would build out my
projections and through each stage when I was capturing you know, a choke
point of information, Wet weight.
For example, I go back and kind of reprocessed my projections.
So we, you know, we know we're hitting saved 18% retention from our wet weight.
And we've got some new numbers for our wet weight coming in.
Well, if we've got a higher wet weight, then we had projected for now, we can
rerun those numbers and, and kind of get closer and closer to the exact
amount that we're gonna be pulling down.
Seth: Yeah.
And that's, that's the goal of all this in the end, right.
Is to be able to predict how.
How much product we're gonna have for sale in a few months.
Like if we can't do that, it makes it really hard to run a business.
You know, any kind of manufacturing process is most profitable when you can
monitor your inputs versus your outputs.
And if we're not looking at what our outputs are, especially in terms of
what we have as saleable product, then it's really hard to get an eye.
How successful are we being?
Cause yeah, at the end of the day, it all comes down to that.
Not just the yield and weight, obviously the quality, but the final product.
If that's not what we need to sell it, wasn't worth it to grow it.
And that's where we've really gotta kind of narrow that in and make sure
we're, we're creating a product that your company is able to sell and
is the product that you wanna sell
Jason: cat.
And, you know, as with, with any any cyclical growing cycles, we are.
Trying to get as much data and so that we can really dial in
what those projections look like.
If you've only got maybe three runs on a specific strain, we can't expect our
projections to be nearly as accurate as if we've got 30 or 40 runs on a strain.
And, you know, kind of looks like that, that confidence in a role, our confidence
band, I was talking about where the, the more data that we've captured,
the, the tighter that we, we know we're gonna hit with with that product coming.
Kaisha: Yeah.
At the end of the day, it's ensuring the longevity of your business.
Right?
So kind of updating the skillset all these talented growers out there just
like work with the data to help you achieve the goals that you wanna achieve.
Michael, thank you so much for your question.
The questions are not really coming in live that's okay.
I have one more question here and you know, we'll see if some more come in.
I was just wondering if there's a.
Feature within the harvest group analytics that you guys wish
more clients took advantage of.
Maybe they're not aware of it or forget about it, but yeah.
What would you like, what would you like to see more clients really utilize and,
and embrace in their business practices?
Jason: Pictures?
I used to take a ton of pictures as a cultivator was something
I really, really enjoyed.
And it's something that kind of brought me to the point where.
Train my brain into picking out any mistakes in the garden.
If my fer was labeled wrong, we took some cuts off the wrong mom,
any of those type of mistakes.
The more pictures you take, the better visual recognition you have of what to,
what to expect throughout that grow cycle.
Seth: Yeah, pictures.
Great.
I, I was personally gonna say manual reading.
You know, I've definitely noticed a habit among some growers, especially
once they get you know, electronic data logging involved to kind of veer
away from taking spot measurements and taking the daily notes that they need
to aro makes that incredibly easy.
To just do that on your phone or your tablet or the computer either way,
but the plus button plus add a note or add a reading is very easy to use.
It's not time consuming and it's skipping that step of like, I, I
used to take notes, but they didn't always make it into the computer.
Now we're dumping it right.
All into one spot where we can access it later.
That's, that's a huge thing I found, right, right up there with not taking
pictures and not keeping just general track of cultivation processes.
I, but personally I would love to see more of my customers use those manual
readings, cuz that gives us, that's all the things we can't see with AUR
and they're all there for a reason.
They're all important.
And if you want a holistic look at what's going on, we need
to see all those variables.
Kaisha: Amazing.
I'm here for it.
You guys, we don't have any live questions coming in.
I guess everybody's all set on crop steering and sensors.
But yeah, this is a great overview actually.
So, you know, aro customers definitely take full advantage
of your harvest group analytics.
There's so much that can be learned from that.
I think we're gonna wrap it up a little bit early.
Seth, Jason, anything you wanna say before we, before we go.
Jason: I think we're good over here.
Seth: Yeah.
Keep, keep having fun growing out there.
We're I know I'm always stoked to be part of an industry where all my customers are
also stoked to be part of the industry.
Yeah.
It's always great interacting with our customers and we love it.
Kaisha: I so agree with that.
Yeah, no, we, we this is a dynamic exciting industry.
It could be frustrating at times, but I don't know.
I don't wanna be anywhere else.
How about you guys?
Seth: Not really.
There's far less, far less exciting parts of agriculture to be in that's for sure.
Yeah.
Kaisha: that's it.
Wow.
Thank you.
Set.
And Jason so much for a great conversation.
Thanks to everybody who joined us live today.
Anybody you know, who's never seen us before we do this every Thursday.
And the best way to get answers from the experts is to join live.
So definitely feel free to join us live every week.
If you have any questions about AROYA, feel free to book a demo.
Our experts will tell you about how it can be used to improve your
cultivation production process.
And then as always, if there's a topic you'd like us to cover in a
future office hours episode, posted in the chat, shoot us an email
at support.aroya@metergroup.com or send us a DM of our Instagram.
We definitely wanna hear from you.
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We'll email everybody in attendance, a link to the video
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It'll also be on the AROYA YouTube channel, like subscribe
and share while you are there.
And if these conversations are helpful, do spread the word.
Thank you all so much.
Seth and Jason, I look forward to seeing you next week in person.
I'll be in Pullman, Washington.
Seth: Awesome.
Yeah.
That's pretty exciting case you can't wait to see here.
Can't
Kaisha: wait.
I have never met these guys in.
Oh wait.
No, that's not true.
I haven't met Jason, everybody.
Thank you so much,
Seth: Kaisha.