Author name: John Hutton

A recent study published in ‘IEEE Access’ presents an innovative solution aimed at enhancing land registration within the agriculture sector through the integration of blockchain and artificial intelligence (AI). Titled “GreenLand,” the research addr

Recent research published in ‘Agriculture Communications’ has unveiled a significant advancement in the analysis of leaf chlorophyll content, particularly in rice, through an innovative integration of machine learning techniques with established mode

Recent research published in ‘Environmental Research: Food Systems’ highlights the transformative potential of agro-technologies in enhancing climate-smart agriculture across sub-Saharan Africa (SSA), particularly in mitigating the significant maize

Recent research published in ‘Geoderma’ has introduced an innovative framework for mapping fine-scale soil properties across broad areas, specifically focusing on Hubei Province, China. This study, led by Ruizhen Wang and his team, addresses a signif

Recent research published in ‘Frontiers in Plant Science’ showcases a groundbreaking approach that integrates explainable artificial intelligence (XAI) with advanced machine learning techniques to enhance the prediction of phenotypic traits from geno

In a significant advancement for the agricultural sector in Bangladesh, a recent study published in ‘Heliyon’ showcases the potential of the YOLOv8 (You Only Look Once) object detection model in identifying and categorizing leaf diseases in key crops

Recent research published in ‘Environmental Research: Food Systems’ sheds light on the profound impacts of civil conflict on agriculture in Tigray, Ethiopia, a region traditionally reliant on smallholder, rain-fed farming. The study, led by Seth Pete

Recent research published in ‘Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія’ sheds light on the vital role of remote sensing technology in monitoring forest cover changes, with a particular fo

Recent research published in ‘IEEE Access’ has unveiled a groundbreaking ensemble machine learning framework aimed at predicting cotton crop yields based on weather parameters, specifically tailored to the agricultural landscape of Pakistan. This stu

Recent research published in the Alexandria Engineering Journal presents an innovative plant classification framework that leverages Unmanned Aerial Vehicles (UAVs) and artificial intelligence (AI) techniques to enhance precision agriculture. Conduct