Bananas are a staple for millions, yet their production is threatened by limited genetic diversity and breeding challenges.

University of Stirling research has shed new light on the evolution of an important species of wasp – and believe that the findings could help improve the effectiveness of natural pest control. 

A study published by Associate Professor Yanfei Li’s team from Hunan Agricultural University in Frontiers of Agricultural Science and Engineering provides an innovative solution to this challenge (DOI: 10.15302/J-FASE-2025613).

Shuai Feng and Chunling Chen’s team from Shenyang Agricultural University, have developed a novel vegetation index—the Rice Blast Index (RBI)—using drone-based hyperspectral remote sensing technology, offering a solution to this challenge. The study has been published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2024576).

A study led by Professor Hui Liu from Central South University, published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2024599), introduces a hybrid deep learning model named “ICEEMDAN-LZC-BVMD-SSA-DELM”, which significantly enhances the prediction accuracy of soybean futures prices. By integrating multi-stage data preprocessing and intelligent optimization algorithms, the model addresses limitations of traditional methods in noise handling, parameter tuning, and generalization capabilities, offering new insights for risk management in agricultural financial markets.

Food scientists at the University of Illinois Urbana-Champaign found the optimal conditions for fermenting five types of legume pulses, which not only extended the shelf lives of the raw foods but increased their antioxidant and antidiabetic properties. The research holds potential for improving the functional properties of health-promoting foods and the sustainability of plant-based diets to address global problems with food insecurity.