Author name: Lucille Davis

In the heart of India’s agricultural landscape, a technological revolution is brewing, one that promises to transform the way farmers combat pomegranate diseases. A recent study published in *Scientific Reports* introduces a deep learning-based syste

In the heart of Iran’s Miandoab region, a groundbreaking study is transforming how farmers monitor and manage crucial soil nutrients. Researchers, led by Ali Dianati from the Department of Soil Science at Urmia University, have harnessed the power of

In the rapidly evolving landscape of smart agriculture, researchers are constantly seeking innovative solutions to enhance efficiency, security, and sustainability. A recent study published in *Scientific Reports* introduces a groundbreaking approach

In the ever-evolving landscape of precision agriculture, a groundbreaking study published in *Computer Assisted Methods in Engineering and Science* is set to revolutionize how we identify and monitor tobacco plants. The research, led by M.T. Thirthe

In an era where climate change is reshaping agricultural landscapes, a comprehensive review published in *The Scientific World Journal* offers a beacon of hope for farmers and researchers alike. The study, led by Arebu Hussen Yimer of the Institute o

In the sprawling, sun-dappled plantations of Southeast Asia, a silent revolution is underway, one that doesn’t involve tractors or drones, but rather, the invisible spectrum of light that our eyes can’t see. Researchers have long been harnessing the

In the heart of Southeast Asia’s agricultural landscape, oil palm plantations face a silent adversary: the challenge of detecting diseases and micronutrient deficiencies early enough to prevent widespread crop damage. A recent study published in *Jur

In the ever-evolving landscape of precision agriculture, a groundbreaking study has emerged that could redefine how we approach weed detection in residential and agricultural settings. Researchers have successfully optimized the YOLOv11n model, a lig

In the heart of India, a groundbreaking study is reshaping the future of grasspea cultivation, a crop known for its resilience and nutritional value. Researchers have successfully integrated machine learning with the GGE biplot approach to identify c