Author name: Lucille Davis

In the ever-evolving landscape of precision agriculture, a trio of technologies is emerging as a game-changer: Wireless Sensor Networks (WSNs), Unmanned Aerial Vehicles (UAVs), and the Internet of Things (IoT). A comprehensive review published in ‘IE

In the rapidly evolving world of agriculture, technology is playing an increasingly pivotal role in enhancing efficiency and sustainability. A recent study published in *Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer* introdu

In the ever-evolving landscape of precision agriculture, a groundbreaking study published in *IEEE Access* is set to revolutionize how farmers and agribusinesses estimate the weight of pomegranates without causing any damage to the fruit. The researc

In the heart of China’s rice paddies, a silent battle rages between farmers and a stealthy pathogen, Burkholderia gladioli, the culprit behind bacterial panicle blight. This disease, a severe threat to global rice yields and grain quality, has long p

In the shadowy corners of bat caves, a silent battle rages, one that could potentially spill over into the world of agriculture and threaten the swine industry. A recent study published in the *Journal of Virology* has shed light on the potential ris

In the ever-evolving landscape of precision agriculture, a groundbreaking study published in *Frontiers in Plant Science* is set to revolutionize how we detect and manage plant diseases. The research, led by Guanqun Sun from the School of Information

In the heart of America’s Corn Belt, a new player is emerging in the agricultural landscape, and it’s not a new variety of corn or soybeans. It’s Miscanthus × giganteus, or M×g, a towering perennial grass that’s catching the eye of farmers and resear

In the ever-evolving landscape of agricultural technology, a groundbreaking study has emerged, promising to revolutionize how we approach named entity recognition (NER) in the sector. Published in the journal ‘Huanan Nongye Daxue xuebao’, the researc

In the rolling hills of tea plantations and the bustling floors of processing facilities, a quiet revolution is underway, driven not by steam or machinery, but by data and algorithms. Machine learning (ML), a subset of artificial intelligence, is eme

In the quest to optimize rice yields, a team of researchers led by Dasom Jeon from the Rural Development Administration’s National Institute of Agricultural Sciences in South Korea has developed a novel approach to modeling yield variability in the B