Recently, Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad in Pakistan developed a “Machine Vision-Based Automatic Fruit Grading System”, offering a new solution. The related article has been published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2023532).

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.

The latest annual meeting for the Global Education Deans Forum brought together 53 representatives from 40 institutions across 29 countries in Shanghai and Lijiang, China. An article published online in ECNU Review of Education on May 27, 2025, attempts to  capture how a group of global education leaders view the promise and perils of AI amidst a rapidly changing educational landscape.

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.