Recent research published in the journal ‘Heliyon’ sheds light on an innovative approach to smart irrigation that could significantly enhance agricultural water use efficiency, particularly in arid and semi-arid regions. Led by Erion Bwambale from Ma
Smart Irrigation Breakthrough Promises Higher Yields and Water Savings Read More »
The transformation of the Tigris and Euphrates rivers due to extensive dam construction and ongoing regional conflicts has profound implications for the agriculture sector and potential investors in the area. These rivers have historically supported
Dam Impact: How Water Management Shapes Agriculture in Conflict Zones Read More »
Recent research published in ‘Heliyon’ has unveiled a significant advancement in flood risk mitigation through the application of machine learning techniques in the Sefidrud River basin. This region has faced recurrent flood events that have historic
Machine Learning Breakthrough Enhances Flood Risk Management for Farmers Read More »
Recent research published in ‘Frontiers in Plant Science’ has unveiled a groundbreaking approach to accurately estimating crop height and above-ground biomass (AGB) in winter wheat using unmanned aerial vehicles (UAVs). This study, led by Yafeng Li f
UAV Technology Transforms Crop Height Measurement for Winter Wheat Farming Read More »
Recent advancements in deep learning are transforming the landscape of smart agriculture, particularly in the realm of plant disease identification. A new study published in ‘Heliyon’ has showcased the potential of Vision Transformers (ViTs) in detec
Vision Transformers Revolutionize Mango Disease Detection for Farmers Read More »
Recent research published in ‘Heliyon’ has showcased a significant advancement in the detection and classification of brain tumors using pre-trained convolutional neural network (CNN) models. This study, led by K. Nishanth Rao from the MLR Institute
Deep Learning Breakthroughs in Tumor Detection Could Revolutionize Agriculture Read More »
Recent research published in the journal ‘Heliyon’ has illuminated the evolving landscape of precision agriculture through the application of the BERTopic algorithm. This innovative study, led by Yang Liu from Murdoch University and the Agricultural
Precision Agriculture Transformed by BERTopic Insights and IoT Innovations Read More »
Recent research published in ‘Data in Brief’ has unveiled a comprehensive dataset focused on cotton leaf diseases, which is poised to transform agricultural practices, particularly in precision farming and disease management. This dataset, developed
Breakthrough Cotton Disease Dataset Empowers Precision Farming Innovations Read More »
Recent research published in ‘Data in Brief’ has unveiled a comprehensive dataset of stomata images from various tree species in the mangrove and swamp forests of Bangladesh. This dataset, spearheaded by Biplob Dey and his team at the Center for Rese
New Dataset of Stomata Images Offers Insights for Climate-Resilient Farming Read More »
Recent research published in ‘Geoderma’ highlights the transformative potential of soil sensing technologies in modern agriculture. With the increasing demand for precision farming, the ability to accurately measure and predict key soil properties is
Soil Sensing Technologies Set to Transform Precision Farming Practices Read More »
