The researchers compared four forms of the neural network’s output to some of the more common yield prediction tools, including linear regression and a random forest algorithm. They found that the ...

(i) photogrammetric structure-from-motion techniques in the images with a high overlap to generate the three-dimensional crop and weed model (CHM, Crop Height Model) and the orthoimage; (ii) automatic ...

"Scientists stack algorithms to improve predictions of yield-boosting crop traits." ScienceDaily. ScienceDaily, 3 June 2019. <www.sciencedaily.com / releases / 2019 / 06 / 190603102602.htm>.

These algorithms categorize healthy and stressed crops before any farmer or scout can spot a difference, and they provide information on the effectiveness of different management practices.

ABSTRACT Projections of climate change impacts on crop yields are subject to uncertainties, and quantification of such uncertainty is essential for the effective use of the projection results for ...