Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
A new multi-scale deep-learning framework combines high-frequency medium-resolution drone imagery with sparse high-resolution images. It identifies rice growth stages across hundreds of genetically diverse varieties.
Read the original →A lightweight YOLOv8n-based model reached 0.980 [email protected] for seven tea pest and disease classes while substantially reducing model size and computation. Broader field validation remains needed.
Read the original →Agtech firm Bug Bug is in talks over its first European commercial trial. It aims to capitalise on growing demand for real-world evidence that crop protection products are delivering results in the field.
Read the original →A CNN that fuses shallow and deep lesion features classified rice blast severity with about 93% accuracy. It also estimated the proportion of infected leaf area. The dataset of 400 images remains limited.
Read the original →A systematic review of IoT and AI-enabled microclimate regulation in poultry farming found that predictive climate management can achieve thermal stability of ±0.5 °C.
Read the original →Dr. Haipeng Yu, an assistant professor, is guiding research at the bridge between animal science, genetics and artificial intelligence. His work focuses on integrating AI, genetics and data-driven approaches to solve complex challenges facing animal agriculture.
Read the original →Chilean technology company Plancton Andino has upgraded its algal monitoring platform so salmon farmers can identify potentially harmful microalgae using AI and images submitted through WhatsApp. The new version of the ADICFito platform can recognise more than 90 groups of phytoplankton. It helps aquaculture operators identify species that could pose a risk to farmed fish.
Read the original →Researchers found that a hidden feature steered AI-generated images towards more idyllic scenes.
Read the original →Highly pathogenic avian influenza has been detected in wild birds along the lower reaches of the Han River in Gimpo, Gyeonggi Province. The detection prompted emergency containment measures.
Read the original →Thailand backs a Bangkok declaration that promotes satellites, geospatial data, AI and big data. The declaration covers disaster response, farming and climate resilience.
Read the original →The HRF press release said all existing and proposed projects must be assessed cumulatively, with public consultation and enforceable limits on resource use.
Read the original →Panasonic Automotive Systems has delivered its DRIVEBOSS automatic dispatch plan creation system, which uses AI technology, to the Fukui Prefecture agricultural cooperative (JA Fukui Prefecture).
Read the original →Vinh Long province is urgently finalizing an agricultural seed bank project. The project aims to preserve valuable genetic resources, secure high-quality seed sources and strengthen competitiveness in key agricultural sectors.
Read the original →