A research team developed the Point-Line Net, a deep learning method based on the Mask R-CNN framework, to automatically recognize maize field images and determine the number and growth trajectory of ...

Technological Innovation: Revolutionary Breakthrough in Multidimensional Data Collection ...

A research team led by Prof. Jiang Ni from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences (CAS) proposed a cost-effective method for in-field acquisition ...

The thesis not only showcases technical advancements but also underscores the importance of interpretability and scalability in agricultural AI solutions. Farmers and stakeholders are more likely to ...

Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently ...

A research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, ...

Plant disease recognition technologies have advanced rapidly thanks to deep learning and large annotated datasets, but agricultural applications face unique hurdles. Data collection in the field is ...