New imaging technique brings us closer to simplified, low-cost agricultural quality assessment

A team of University of Illinois Urbana-Champaign researchers has developed a method to reconstruct hyperspectral images from standard RGB images using deep machine learning. This technique can greatly simplify the analytical process and potentially revolutionize product assessment in the agricultural industry.

“Organic Fertilizer from Cassava Waste” An Innovation from Chula to Replace Chemical Fertilizers and Increase the Value of Agricultural Waste

A Chula researcher has been successful in adding value to agricultural waste generated by industrial factories by transforming cassava waste and sewage sludge into organic fertilizer to replace the use of chemical fertilizers. He has also come up with a special formula of microbial inoculum that increases nutrients needed by plants.