A unified framework that combines weather forecasting, soil nutrition analysis, and disease prediction to provide farmers in Bangladesh with optimized crop recommendations for improved productivity and profitability.
Using weather forecast data improves evapotranspiration estimation models.
Specialized procedural model for generating synthetic agricultural scenes enhances photorealism and supports computer vision tasks in precision agriculture.
Advancing sugarcane biotechnology through polyploid genome sequencing.
프로세싱 및 특징 감지를 위한 ViTaL 프레임워크
グローバルな土壌情報システムのWebオントロジーを紹介する。
Establishing a global soil information system for sustainable land management.
Neural Radiance Fields offer accurate phenotyping in greenhouses, comparable to traditional methods but with improved scalability and robustness.
Self-supervised learning empowers agriculture by unlocking the value of unlabeled data, reducing manual labeling efforts, and enhancing downstream task performance.
Utilizing hyperspectral imagery for efficient Varroa mite detection on honey bees.