News
About CropSafe The application uses satellite images to detect diseases in crop fields One example would be sugar beet fields, which are prone to a powdery mildew and a rust disease ...
Scientists from the Indian Institute of Technology (IIT) Mandi have developed a computational model for automated disease detection in potato crops using photographs of the leaves. The research ...
Earlier detection also means earlier intervention, which could ultimately translate into a boon for America’s farmers. “If we could cut in half the 12 percent of crop losses due to diseases, farmers ...
Hosted on MSN10mon
Advanced AI techniques enhance crop leaf disease detection in ... - MSN
Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to automate the detection and classification of crop leaf diseases.
BINGUELA, CAMEROON —For Alain Lietbou, it has become a ritual: Every time he visits his farm, Lietbou uses the app to monitor the health of his tomatoes. It detects crop disease and suggests ...
A one-inch sensor, mounted on a robotic arm, can analyzes compounds emitted by plants to detect disease before it's too late. Georgia Tech Photo: Rob Felt Each year, U.S. farmers lose up to 12 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results