Tag: precision agriculture

Researchers have developed a real-time AI framework and a new field-captured dataset, VerBeet, that localize sugar beets and detect breakage ...

A new study in the Brazilian Cerrado shows that the phenological stage at which satellite images are captured can be ...

A new study combines transfer learning, quantitative explainable AI, and drone-based tile-grid spray mapping to target pesticide application in pepper, ...

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 ...