Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Our research team set out to combine AI-based early pest detection methods with existing integrated pest management practices ...

Some farmers in the Sissala East District have been introduced to innovative farming technologies through a one-day field ...

Register to join our online community and read up to five free articles a month. Get the latest updates, local and state news ...

AIGC is transforming agricultural decision-making by enabling automated recommendations in irrigation, fertilization, pest ...

Farmers are curating AI and other digital tools to reduce operating spend, increase coordination and foster more inclusive, ...

Farmers are under pressure. Fertilizer costs have soared in recent years. Tariffs are increasing equipment costs and cutting Canadian farmers off from key foreign markets. And climate change is ...

Common examples of remote sensing are drone and satellite imagery, as well as handheld devices or sensors mounted on any of ...

Delaware State University held a ribbon-cutting ceremony on Monday to celebrate the opening of its Agilent Hub for ...

Precision agriculture is a rapidly evolving field that addresses the pressing need for more efficient and sustainable agricultural practices. As the global ...

The University at Buffalo Center for Advanced Technology in Big Data and Health Sciences (UB CAT) is a project cost-sharing grant program funded by Empire State Development's Division of Science, ...

The field of agro-microbiology has made significant strides in understanding how plant-associated microbiomes contribute to agricultural resilience and ...