AI

In a recent study published in ‘Land’, researchers led by Zhuangzhuang Feng from the State Key Laboratory of Black Soils Conservation and Utilization at the Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, have unveiled

In the ever-evolving landscape of agriculture, the integration of advanced technologies is becoming a necessity rather than a luxury. A recent review published in Remote Sensing delves into the promising applications of Light Detection and Ranging (L

In the sun-drenched vineyards of Puglia, Italy, a new approach to irrigation management is taking root, thanks to a blend of cutting-edge technology and agricultural know-how. Researchers, led by Vincenzo Giannico from the University of Bari A. Moro,

In a recent exploration of irrigated cropland dynamics, researchers have shed light on how these farming practices not only bolster food production but also play a significant role in climate regulation. Long Li, from the State Key Laboratory of Remo

In the ever-evolving landscape of agriculture, the integration of remote sensing and artificial intelligence is carving a new path for fruit growers, particularly in Brazil, where apples and grapes reign supreme. A recent study led by Danielle Elis G

In an era where every drop of water and grain of fertilizer counts, the agricultural sector is increasingly turning to technology to boost efficiency and sustainability. A recent study led by Nesma Talaat Abbas Mahmoud from the Institute of Computer

In a significant move towards modernizing agricultural practices, researchers in Bosnia and Herzegovina have developed an automated ear-counting system that harnesses the power of machine learning and drone technology to enhance wheat yield predictio

In the heart of Northeast China lies the Black Soil Region, a crucial area that has long been a cornerstone for the nation’s grain production. Recent research conducted by Quanxi Wang from the School of Management at Gansu Agricultural University she

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