Keep in mind, phone apps are crap on Androids, to many different manufactures and light sensors.Check out the Photone app
I did not know that, it’s decent in the iPhoneKeep in mind, phone apps are crap on Androids.
It's not always that easy, different conversions are needed for lights with UV, deep red and far red.You’ll be fine using a lux meter for LED’s—it gets you close enough. After all, these are just plants.
Measure the Lux and either multiply it by 0.015 to get a rough-ballpark ppfd, or you can use this webpage to convert it (if desired): https://www.waveformlighting.com/horticulture/convert-lux-to-ppfd-online-calculator
Shhh, don’t tell my plants. lolIt's not always that easy, different conversions are needed for lights with UV, deep red and far red.
By the way, LED lights do not have IR.
Yeah, who cares if there is actually 25% more light than measured. After all, these are just plants, right?Shhh, don’t tell my plants. lol
Our lights have a LUX to PPFD conversion factor of 0.022 at full power (5A). I am only stating this because if you use 0.015 you will get a 46% error. Our spectrum is not typical but it goes to show you cannot use a universal LUX to PPFD conversion unless you are using a universal spectrum. To get the conversion, divide PPF by lm.OP, don’t let people over complicate this for you. You do not need a par meter to use LEDs. A Lux meter will get you close enough. It’s also not measuring with a 25% error... Best part is that you can use a Lux meter to calibrate the Photone app, if that’s what you prefer.
If you use the methods I posted above, watch how the plants respond and take notes. After a grow, you’ll know where to set the lights according to Lux for your particular LED light and environmentals.
Thanks for taking the time to post all of this information. That percentage seems high to me, so I ran some numbers. I am not seeing a 46% error. Mind sharing how you got to that percentage?Our lights have a LUX to PPFD conversion factor of 0.022 at full power (5A). I am only stating this because if you use 0.015 you will get a 46% error. Our spectrum is not typical but it goes to show you cannot use a universal LUX to PPFD conversion unless you are using a universal spectrum. To get the conversion, divide PPF by lm.
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I can only guess but i think the 46% number would come from:Thanks for taking the time to post all of this information. That percentage seems high to me, so I ran some numbers. I am not seeing a 46% error. Mind sharing how you got to that percentage?
With a 0.015 universal conversion factor, I'm calculating a 31% error in calculated ppfd for a light with an actual conversion factor of 0.022. Using the website I also linked with the original post giving the 0.015 conversion factor, I am only getting a 13% error when selecting 3000k high CRI LED. Via a back calculation, ~ 0.019 seems to be what the waveformlighting website is using as a conversion factor for those settings.
Looking at HLG's online LUX to PPFD calculator, I'm back calculating these conversion factors for the following fixtures:
QB 648 Diablo Spectrum ~ 0.0163
QB 648 Diablo X Spectrum ~ 0.020
HLG Tomahawk Spectrum ~ 0.0180
Rspec FR Spectrum ~ 0.0173
QB 288 V2 Rspec ~ 0.0155
QB 288 V2 3000K ~ 0.0145
QB 288 V2 4000K ~ 0.0144
QB 96 Elite V2 ~ 0.0151
HLG's Calculator: (https://horticulturelightinggroup.com/blogs/calculators/converting-lux-to-ppfd)
The PDF above, posted above by Delps8, includes the following conversion factors:
CMH @ 3100 K ~ 0.0170
CMH @ 4200 K ~ 0.0154
Cool white flourescent ~ 0.0135
Dual Ended HPS ~ 0.0130
Mogul base HPS ~ 0.0122
QB 288 V2 3000K ~ 0.0146
QB 288 V2 4000K ~ 0.0144
QB 288 V2 Rspec ~ 0.0155
QB 648 Diablo ~ 0.0163
QB 96 Elite V2 ~ 0.0151
Sunlight ~ 0.0185
Vipar Spectra XS-1500 ~ 0.0145
Rapid LED Royal Blue Puck ~ 0.0130
Here's my math:
Estimated PPFD -> Row C = (Universal Conv. Factor) * (Measured LUX)
Actual PPFD -> Row D = (Actual Conv. Factor) * (Measured LUX)
Error% -> Row E = [ { | (Actual PPFD) - (Estimated PPFD) | } / (Actual PPFD) ] * 100
Of course there are a few exceptions, but a universal conversion factor of 0.015 seemed to get one right in the ballpark. For a lot of these fixtures, you're only a few points off the mark without any fine tuning/adjustments. For some of the newer fixtures with unique spectrums, just adjust the conversion factor to better fit the fixture. I imagine this should be good enough for the majority of home growers.
Calculations:
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Viparspectra XS-1500 had an error of 3.45%, but I hit the max of 10 uploads so I didn't attach it.
Yeah, maybe. But that seems to be measuring the difference between the conversion factors, not the PPFD.I can only guess but i think the 46% number would come from:
0.022/0.015=1.46
The gla spectrum creates 46% more photons than whatever spectrum that 0.015 number comes from, per measured lux.
Re. the 46% error - GLA didn't specify the direction of the error but it can be determined by doing the math on 15 vs 22. The variance is 350µmols which is 46% of 750. It would have been more clear to state it differently.Yeah, maybe. But that seems to be measuring the difference between the conversion factors, not the PPFD. I calculated the error percentage using the difference between the PPFD calculated using the conversion factor given by the vendor against the generic 0.015 and got this:
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Your math's not right.Yeah, maybe. But that seems to be measuring the difference between the conversion factors, not the PPFD.
Okay, if he's doing the calculation like that, it's in error, imo. It should be as follows: [ (0.022 - 0.015) / 0.022 ] * 100 = 31.82 %
I calculated the error percentage using the difference between the PPFD calculated using the conversion factor given by the vendor against the generic 0.015 and got this:
But the error in 15 vs 22 is only 7. It doesn't make sense to relate the error to the generic value of 15, but instead it should relate to the 22. You're looking for the error with respect to the actual conversion factor, not with respect to the generic conversion factor.Re. the 46% error - GLA didn't specify the direction of the error but it can be determined by doing the math on 15 vs 22. The variance is 350µmols which is 46% of 750. It would have been more clear to state it differently.
0.022 is freakishly high. That's due to the gobs of high red plus the far red, I'd assume.