Tag: precision agriculture

A survey of nearly 400 Western Canadian producers shows that psychological factors, not demographics, determine whether farmers actually use the ...

Researchers at Fujian Agriculture and Forestry University have developed GDE-YOLO, a lightweight deep learning model that detects tea leaf diseases ...

Researchers in Puno, Peru, have released AgroYachay, an open-source platform that turns low-cost ESP32 sensor telemetry into pest diagnoses, agronomic ...

Researchers have developed PVSCNet, a deep learning framework that accurately separates stems, pods, and leaves in tangled 3D plant scans, ...

Researchers have developed an AI-driven optimization framework that cuts greenhouse irrigation water use by up to 79 percent while keeping ...

Researchers combined a CNN-LSTM deep learning network pre-trained on radiative transfer simulations with transfer learning to estimate potato leaf area ...

A comprehensive new survey maps how machine vision and deep learning are transforming pest detection, yield estimation, robotic harvesting, quality ...

A district-wide GIS and statistical assessment of Banaskantha, Gujarat, maps sharp spatial contrasts in soil salinity, organic carbon and nutrients ...

A new opinion paper in Plant and Soil argues that uneven crop emergence persists because soil sensing technologies have never ...

A new depth-routing AI framework sharply improves organ-level segmentation of chili pepper plants for precision spraying.