Hyderabad researchers develop a patented AI system with 96 per cent accuracy to detect plant leaf diseases and recommend ...

Abstract: Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the studies of visually ...

A few years ago, Austin Wrenn noticed something unsettling in his strawberry greenhouses at Wrenn's Farm in Zebulon, North Carolina. He was one of the first growers in the state to experience losses ...

Abstract: The key problems that influence plant health and crop yield quality are leaf disease and pests. To improve crop production many advanced technologies are deployed. One of the predominant ...

Haryana is one of the country’s leading wheat-producing states and scientists believe the project will be crucial in reducing ...

AI-powered machine vision is redefining modern robotics by enabling machines to recognize objects, navigate spaces, and adjust actions autonomously. These capabilities support faster production, ...

InnerPlant's CropVoice network alerts growers to fungal infections in real-time, expanding from soybeans to corn in 2027.

St. Louis is a plant science powerhouse, but outside the neatly tended rows of crops and gleaming greenhouses sits another ...

When a storm uproots a tree, the first decisions involve safety, documentation, and whether it can be preserved. Weather data ...

This guide brings together practical recommendations and workflow considerations to reduce unnecessary troubleshooting and ...

Plant protection is entering a new era driven by autonomous sensing and intelligent action across multiple platforms. Persistent crop losses from pests and ...

UF, USDA and NASA developed plant drought detection technology that identifies water stress before crops show visible symptoms.