Precision farming With webOdm - AGRITECH

hello I am a young startupper in West Africa. we use webOdm open source technology to map our fields with drones and analyze crops. we would like to better control the exploitation of this data especially the NVDI. if there are experts in drones with agriculture please introduce yourself so that we can learn or collaborate for a better future of the agriculture ecosystem with technology



Sounds like incredibly valuable work you’re doing, and I’m glad you’re able to do such to improve crop outcomes within your communities!

I worked in Precision Agriculture as a GIS Analyst and Remote Sensing Specialist, so I have some experience in this field.

We also have tons of very talented folks within our wider Community with even more experience!


Hello it’s specially what We need to improve our skills , how can we have a contact to talk about it

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There’s a lot of tools in QGis that can be appropriate.

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A pleasure Seydina to meet you here. Definitely take a look at posts on here relate to the above and multispectral. DM me here or on LinkedIn and I’ll put you in touch with folks in Niger and Mali with drone experience. Although I think their applications in agriculture are limited, it could be useful to connect with that network, if you aren’t already. In East Africa, there is also a strong network, especially in Tanzania.

Regardless, excited to see what you are doing and for us to learn collectively together. Cheers.

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Wonderful, can i know what kind of work does a GIS analyst have to do to understand more clearly all datas captured with drones

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I would say that the most helpful things were my university Remote Sensing classes. We focused on a lot of the theory behind Remote Sensing systems. So the optics, physics, and math of it. We also were given a lot of no-context data to observe and understand which really helped us to apply the theory to what happens in the real world (and how different things can be in the field!)

So more specifically, I guess I would look into the specifications of your sensing platform. What’s the spectral response curve? How many bands is it, and what are the band cutoffs? What indices can you reasonably use with this sensor?

Then, I would do some trial plots and compare it against a ground-truth NDVI sensor so you can calibrate your sensor/indices against what is collected at leaf-level. I’d also really value the input of the farmer/workers who work that particular land. They’ll always know which parts of the field usually have what stressors, so they are going to be an incredible resource for you to learn what the different stresses may look like in your collected data.

When I was using a modified GoPro Hero4 Black with a Kolari Vision Infrared Blue/NIR NDVI sensor, I was able to correlate my indices to leaf-level spectra taken with a hand-held GreenSeeker. So my index was not a true NDVI (couldn’t be, not four bands and not the same cut-offs), but it correlated at a very high percentage to NDVI so it was directly comparable.

Other than that, I’d say general Remote Sensing theory is never wasted. Learning about the different types of resolution, and the trade-offs of such. So for instance, do you really need 0.5cm/px resolution for surveying a field, or can you safely fly higher so you can collect faster? Does each leaf matter, or are you more concerned about whole plants or areas of the field even?

If you

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