Researchers from North Carolina State University have developed an electronic patch that can be applied to the leaves of plants to monitor crops for different pathogens, such as viral and fungal ...

Modern agriculture is under pressure from every angle rising labor costs, unpredictable weather, herbicide resistance, and the need to increase yields while reducing environmental impact. In response, ...

Every year, plant diseases caused by bacteria, viruses, and fungi contribute to major economic losses. The prompt detection of these diseases is necessary to curb their spread and mitigate ...

Recent advances in deep learning have transformed plant pathology by enabling rapid, accurate detection and classification of plant diseases. Convolutional neural networks (CNNs), enhanced by transfer ...

Researchers have developed an electronic patch that can be applied to the leaves of plants to monitor crops for different pathogens -- such as viral and fungal infections -- and stresses such as ...

Field tests reveal that image resolution, computing power, and seasonal variability can limit drone weed detection.

Researchers from the Disruptive & Sustainable Technologies for Agricultural Precision (DiSTAP) interdisciplinary research group (IRG) of Singapore-MIT Alliance for Research and Technology (SMART), MIT ...

This is the first nanosensor capable of simultaneously detecting and differentiating between two different forms of iron, Fe(II) and Fe(III), in living plants with high spatial and temporal resolution ...