Abstract: Weed detection is a critical challenge in precision agriculture, directly impacting crop yield and resource management. Traditional methods of weed control rely heavily on manual labor and ...

Featuring upgraded cameras, John Deere’s model year 2027 See & Spray system can operate faster while distinguishing between plants from weeds — with four times the accuracy as previous versions.

Smart sprayers powered by artificial intelligence could help Midwest corn and soybean growers cut foliar herbicide use — and trim input bills — without sacrificing weed control, according to new ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

Teens don't have to use weed all that often for it to have a negative effect on their lives, according to a new study. Even using marijuana once or twice a month is linked with worse school ...

The Pine Barrens of southern New Jersey are home to the state’s largest producers of cranberries, a native fruit that thrives in the region’s sandy, acidic soil. So, too, does a perennial weed called ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can reduce fruit yields. However, physically removing weeds is not only ...

The global agricultural sector stands on the brink of a technological transformation as AI and computer vision start reshaping how farmers manage weeds, one of the oldest and costliest challenges in ...

Conventional crop–weed segmentation models classify every pixel in an image as crop, weed, or background, usually using deep learning. These systems support targeted herbicide application and ...

Introduction: With the continuous advancement of agricultural technology, automatic weed removal has become increasingly important for precision agriculture. However, accurate weed identification ...