Nature

AI-driven hybrid framework for enhanced pest detection and resource optimization using graph networks and deep reinforcement learning

Agriculture is the backbone of world food provision but has become far more challenging with global climate change, pest infestation, and poor resource management. These factors are further heightened ...
Nature

An interpretable crop leaf disease and pest identification model based on prototypical part network and contrastive learning

Crop diseases and pests are one of the major disasters restricting agricultural production, seriously affecting the yield and quality of crops 1. The occurrence of disastrous crop diseases and pests ...
EurekAlert!

From leaf images to genomes: deep learning reshapes pest-resistant breeding

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture. A new study demonstrates how deep learning and genomic analysis can be combined to ...