As we know, crop yield estimation has been done traditionally with farmer's expert knowledge, deductive sampling in representative areas, and remote sensing with satellite imagery. Farmer's Expert knowledge might be biased and not data driven. Deductive sampling are limited to spatial variability, cost-intensive and laborious. Similarly, satellite imagery has many challenges such as limited spatial and temporal resolution and has limited accuracy in field level yield estimation. Other way of yield estimation is using previous years yield distribution to generate yield map for current years but it can't represent current growing conditions. So how UAV can be useful in such situation for better yield estimation.

More Tej Bahadur Shahi's questions See All
Similar questions and discussions