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 »
In a significant advancement for turfgrass management, researchers at Texas A&M University have developed a machine learning-based decision support system (DSS) aimed at optimizing irrigation practices while minimizing water runoff. This innovative a
Texas A&M Unveils Smart Irrigation System to Conserve Water and Enhance Turf Quality Read More »
Recent research published in ‘Frontiers in Plant Science’ highlights the transformative potential of CRISPR/Cas genome editing technology in enhancing staple crops, a development that holds significant implications for the agriculture sector. As the
CRISPR Technology Revolutionizes Staple Crops for Future Food Security Read More »
A new report from sustainability advocate Ceres has shed light on the climate action efforts of major agrifood corporations, revealing a mixed bag of progress. While many companies are making strides to reduce their scope 1 and 2 emissions—those dire
Agrifood Giants Make Strides in Emissions Cuts, but Scope 3 Lags Behind Read More »
