Tag: precision agriculture

A new lightweight deep learning model called WheatNet detects and counts individual wheat seedlings in complex field images with record ...

Researchers in China developed MP-CBA-YOLO, a morphology-preserving, class-balanced object detection method that grades ginseng roots with expert-level accuracy despite scarce ...

A systematic review of 59 publications documents 14 categories of digital technologies in Quebec agriculture and finds only 54 percent ...

A complex-network game study finds that government subsidies only briefly boost farmers' adoption of digital agriculture, while social network structure, ...

Researchers combined deep learning, grey wolf optimization, explainable heatmaps and a Gemini-powered chatbot to detect finger millet diseases with 98.36 ...

A random forest pseudo-labeling pipeline trains a compact deep learning model to segment freeze damage pixel-wise in hyperspectral imagery, cutting ...

Researchers at the University of Gondar report that a voting ensemble of tree-based machine learning models combined with permutation-based feature ...

A lightweight AI detector combining early adaptive convolution and deep multi-scale context modules significantly improves citrus disease and pest detection ...

A new architecture-diverse TabNet ensemble classifies seven crop types from harmonized multi-source soil data with 90.5 percent accuracy, outperforming XGBoost ...

A new study demonstrates that combining fiber optic reflectance and terahertz spectroscopy can detect potato late blight before visible symptoms ...