How to achieve intelligent and precise pesticide application in sustainable agriculture?
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Updates every hour. Last Updated: 7-Sep-2025 09:11 ET (7-Sep-2025 13:11 GMT/UTC)
Dr. Roaf Ahmad Parray from ICAR-indian agricultural research institute (ICAR-IARI) and his colleagues provide an answer in a study published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2024572). In this research, an international team of scientists from India, Denmark, and the United States developed an innovative technology integrating spectral sensors, machine learning models, and an intelligent spraying system, successfully applying it to control black rot disease in cauliflower. This technology, comprising three core components—non-destructive detection, intelligent decision-making, and targeted pesticide application—significantly reduces pesticide use and offers new insights for green agriculture.
A new UC Riverside-led study reveals how common small particles produced by nature as well as human activities can transform upon entering plant cells and weaken plants’ ability to turn sunlight into food. The discovery offers a path to control this issue.
Since the mid-1800s, human activities have rapidly facilitated the spread of rice yellow mottle virus (RYMV), a pathogen that infects rice, far and wide across Africa, according to a new study led by Eugénie Hébrard, at the Institut de Recherche pour le Développement (IRD, France), published June 17, 2025 in the open-access journal PLOS Pathogens.