Tag: plant disease detection

Virginia Tech researchers have developed a low-cost electrochemical sensor that detects Sclerotinia blight in peanut plants within five days of ...

Researchers compared seven convolutional neural network architectures for detecting diseases and pests in star fruit and found that the classic ...

A lightweight vision transformer trained on drone hyperspectral imagery detected grapevine red blotch virus across Napa Valley vineyards with 75 ...

Researchers have built an AI framework that converts cheap RGB photos of oil palm leaves into 31-band hyperspectral cubes, using ...

Researchers in Germany combined hyperspectral imaging with a compact 1D convolutional neural network to detect strawberry powdery mildew under real ...

Researchers have shown that configuring convolutional neural network layers using classical mathematical sequences such as Fibonacci, prime, and triangular numbers ...

Brazilian researchers show that hyperspectral reflectance combined with machine learning can identify soybean rust and target spot and grade their ...

A study of a Raspberry Pi 5 durian disease detector finds that dataset leakage, silent validation failures and software thermal ...

Researchers have developed CNN-SA-RFR, a cosine similarity-based self-attention framework that suppresses redundant filters during CNN training, boosting plant disease classification ...

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