AI

In the heart of Northeast Thailand, where vast expanses of sugarcane sway under the tropical sun, a groundbreaking study is transforming the way farmers tackle one of agriculture’s most persistent foes: weeds. By harnessing the power of satellite dat

In the world of precision agriculture, early detection of nutritional deficiencies in crops can make a significant difference in yield and quality. This is particularly true for coffee, a crop that fuels the economies of many agricultural regions and

In the heart of India’s vast sugarcane fields, a technological revolution is brewing, one that promises to transform the way farmers assess crop health and ultimately boost yields. A team of researchers, led by Pushpendra Kumar from the Department of

In the heart of Bangladesh, a groundbreaking initiative is taking root, promising to revolutionize the way we combat rose leaf diseases and protect the global agricultural market. A team of researchers, led by Jarin Tasmim Jinia from the Department o

In the quest for sustainable agricultural practices, researchers have turned to an innovative approach that could transform organic waste into valuable biofuels. A recent study published in *Energy Nexus* explores the co-hydrothermal carbonization (c

In the heart of Bangladesh, a groundbreaking initiative is taking root, promising to revolutionize the way we monitor and protect one of the world’s most valuable crops: cotton. A new dataset, published in *Data in Brief*, is set to transform disease

In the heart of Iraq’s pomegranate-growing region, a new tool is emerging that could revolutionize how farmers detect and combat fruit diseases. A team of researchers, led by Bashdar Abdalrahman Mohammed from the Department of Computer Science at the

In the ever-evolving landscape of agricultural technology, a groundbreaking study published in *ITEGAM-JETIA* is set to redefine how farmers approach crop selection and yield prediction. The research, led by Hadya Boufera from the Computer Science De

In the ever-evolving landscape of precision agriculture, a groundbreaking study published in *APL Machine Learning* is set to revolutionize how farmers detect and address plant nutrient deficiencies. Led by Saeed Farzizadeh from the School of Compute

In the quest to optimize soil acidity management, a groundbreaking study published in *Geoderma* offers a promising alternative to traditional methods that are often imprecise, time-consuming, or hazardous. Researchers led by Hamza Jouichat from the