Artificial intelligence is rapidly reshaping modern agriculture, and at the University of Wisconsin-River Falls, students are seeing that transformation firsthand not behind desks, but out in the ...
As the nation’s third-leading producer of celery, Florida’s celery fields are valuable crops in the winter but susceptible to ...
Artificial Intelligence (AI) has shifted from experimental use to real-world systems that are reshaping governance, healthcare, ...
A $4.5 million investment in the most high-tech crop measuring equipment and infrastructure available will see Australian ...
Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
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 ...
1 Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, China 2 Department of Computer Engineering, Dongseo University, Busan, Republic ...
Abstract: This paper presents a comprehensive, machine learning-driven solution to enhance agricultural practices by addressing key challenges such as crop yield prediction, pest and disease detection ...
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