Tatyana Woodall Ohio State News woodall.52@osu.edu

  1. The U.S produces about 4.5 billion bushels of soybeans every year, but leaf-chewing insects can cause severe crop losses.

    Machine learning helps determine health of soybean fields

    COLUMBUS, Ohio–Using a combination of drones and machine learning techniques, researchers from The Ohio State University have recently developed a novel method for determining crop health and used it to create a new tool that may aid future farmers.  Published in the journal Computers and Electronics in Agriculture, the study investigates using neural networks to help characterize a crop defoliation, or the widespread loss of leaves on a plant. This destruction can be caused by disease, stress, grazing animals, and more often by infestations of insects and other pests. If left unchecked, whole crop fields can end up damaged, drastically lowering an entire region’s agricultural productivity. To combat this, researchers chose to analyze a cash crop considered to...