This groundbreaking, multi-institutional research project is aimed at revolutionizing the future of precision agriculture through the development of an advanced edge/fog computing-based framework.

Scientists from an International Council for the Exploration of the Sea (ICES) working group have called for new research to enhance habitat protection for juvenile fish species. Experts from the ICES' Working Group on the Value of Coastal Habitats for Exploited Species (WGVHES), led by Dr Benjamin Ciotti from the University of Plymouth (UK), undertook a comprehensive review to evaluate the approaches being used to assess juvenile habitat quality. Their resulting study highlights a major gap in the evidence needed to evaluate habitat quality which is in turn leading to a mismatch between policy needs and available science, with management decisions often relying on incomplete or indirect indicators.

A research team has demonstrated that three-dimensional (3D) imaging can provide accurate, high-throughput measurements of phyllotaxy—the arrangement of leaves on a plant—across diverse sorghum genotypes.

A research team has developed a novel weakly supervised deep learning method that reconstructs spectral data from inexpensive RGB images, eliminating the need for manual labeling.

A research team demonstrates that combining unmanned aerial vehicle (UAV) multispectral imagery with a three-dimensional radiative transfer model (3D RTM) and machine learning can overcome shadow interference, enabling precise, orchard-scale mapping of leaf and canopy chlorophyll content.