5 ms·

We (https://tensorflight.com https://tensorflight.com) are working on utilizing deep learning for detecting trees the most affected by drought in aerial images

by kozikow 10y ago

We (https://tensorflight.com https://tensorflight.com) are working on utilizing deep learning for detecting trees the most affected by drought in aerial images collected by UAVs, among other things. We detected several hundred K trees last week. Contact me (kozikow@tensorflight.com) if you want to get involved in any capacity (either as client, partner or coworker). Disclaimer: I am a cofounder.

blondie9x 10y ago
After those areas have been detected and a pattern emerges what are the resulting action items? Can building models actually help mitigate the losses?
- kozikow 10y ago
  Selective irrigation can deliver water to trees with the most need for water. There is no good automated system for selective irrigation yet without human irrigators or expensive installation. Autonomous irrigation drones will happen at one point. I must add that so far we have been focusing on orchards rather than forests. We are looking into expanding to forests and we have been in touch with the government.
  - arcticfox 10y ago
    > Autonomous irrigation drones will happen at one point. Will that be cost effective? Water seems enormously heavy for what it is. Or will they be automated land irrigators?
  - blondie9x 10y ago
    What percentage of the images surveyed classify as candidates for selective irrigation? What if that area is more than available selective irrigation capacity?
blahi 10y ago
Hey, I'm very interested in remote sensing. Forestry applications are dire to my heart, but at the moment AG has a lockdown on my attention. I have stats/ML knowledge an have done initial research about remote sensing and I've got questions. Is it OK to shoot you an email or two even though I probably won't fit in the 3 groups you mentioned? PS: I'm at the other way of the world, if that makes a difference.
- kozikow 10y ago
  We are interested in talking with you. Please contact us at kozikow@tensorflight.com and zbigniew@tensorflight.com. Agriculture also have a higher priority than forestry for us. Let me guess, are you in Australia? Even if we are in California, we see the most demand for our services in Australia, followed by Canada and Midwest.

by kozikow 10y ago

blondie9x 10y ago

After those areas have been detected and a pattern emerges what are the resulting action items? Can building models actually help mitigate the losses?

kozikow 10y ago
Selective irrigation can deliver water to trees with the most need for water. There is no good automated system for selective irrigation yet without human irrigators or expensive installation. Autonomous irrigation drones will happen at one point. I must add that so far we have been focusing on orchards rather than forests. We are looking into expanding to forests and we have been in touch with the government.
- arcticfox 10y ago
  > Autonomous irrigation drones will happen at one point. Will that be cost effective? Water seems enormously heavy for what it is. Or will they be automated land irrigators?
- blondie9x 10y ago
  What percentage of the images surveyed classify as candidates for selective irrigation? What if that area is more than available selective irrigation capacity?

blahi 10y ago

Hey, I'm very interested in remote sensing. Forestry applications are dire to my heart, but at the moment AG has a lockdown on my attention. I have stats/ML knowledge an have done initial research about remote sensing and I've got questions. Is it OK to shoot you an email or two even though I probably won't fit in the 3 groups you mentioned? PS: I'm at the other way of the world, if that makes a difference.

kozikow 10y ago
We are interested in talking with you. Please contact us at kozikow@tensorflight.com and zbigniew@tensorflight.com. Agriculture also have a higher priority than forestry for us. Let me guess, are you in Australia? Even if we are in California, we see the most demand for our services in Australia, followed by Canada and Midwest.