Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

Pests that spread as a result of climate change pose an increasing threat to fruit farming and viticulture in Germany. Fraunhofer researchers are working with partners to develop methods for the early ...

Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

Dar es Salaam. A locally developed mobile application, kilimoAI, is assisting smallholder farmers in Tanzania by enabling ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Vineyards in the U.S. and Europe are testing robots for disease monitoring and treatment amid climate stress and labor ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

Crops around the world are under pressure from high temperatures, unpredictable weather patterns and disease. Something must be done to protect them. Gene editing in agriculture can make crops more ...

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...