AI

In the ever-evolving landscape of agriculture, the integration of remote sensing (RS) and machine learning (ML) is starting to paint a vivid picture of what the future holds. A recent article by Sergio Vélez from the Group Agrivoltaics at the Fraunho

In the ever-evolving landscape of agriculture, where the stakes are high and the challenges are numerous, recent insights into machine learning (ML) and deep learning (DL) techniques are paving the way for more efficient crop disease diagnosis. This

In a recent exploration of soil properties, researchers have shed light on an innovative approach that marries advanced technology with agricultural science. The study, spearheaded by Yiqiang Liu from the College of Information and Intelligence at Hu

Farmers and agricultural managers are always on the lookout for better ways to optimize their water use and crop yields. A recent study led by Jie Wang from the School of Surveying and Land Information Engineering at Henan Polytechnic University has

In the ever-evolving landscape of agriculture, understanding land surface temperature (LST) is becoming increasingly vital. A recent study led by Yehia Miky from the Department of Geomatics at King Abdulaziz University in Jeddah, Saudi Arabia, dives

In the bustling world of pig farming, where every minute counts and efficiency is key, a new approach to estrus detection is taking center stage. Researchers from the University of Memphis, led by Iyad Almadani from the Electrical and Computer Engine

In the lush tea gardens of Yunnan, China, a new approach to predicting the quality of one of the world’s most cherished beverages is taking root. Researchers are tapping into the intricate relationship between soil conditions and the catechin content

In a recent analysis shedding light on the delicate balance between agriculture and forest conservation in Ghana, researchers have uncovered significant shifts in forest habitat structure within the Ankasa and Bia Conservation Areas. This study, led

In an era where precision and efficiency are becoming paramount in agriculture, a recent study published in the Plant Phenome Journal shines a light on a significant leap forward in insect detection. Led by Benjamin Feuer from the Department of Elect

In the ever-evolving world of agriculture, the ability to accurately predict plant phenotypes can make a world of difference, especially when it comes to maximizing yields and optimizing resources. A recent study led by Fared Farag from the Departmen