Author name: John Hutton

In the ever-evolving landscape of agricultural technology, a recent study published in the journal ‘Land’ has shed light on the potential of deep learning algorithms to revolutionize cropland extraction from high-resolution satellite imagery. The res

In the quest to bolster precision agricultural management and safeguard global food security, researchers have turned to the power of high-resolution remote sensing imagery and advanced deep learning algorithms. A recent study published in *Remote Se

In the heart of China’s arid northwest, the Heihe River Basin (HRB) has long been a focal point for ecological research, balancing the delicate interplay between climate and human activity. A recent study published in *Remote Sensing* has shed new li

In the face of escalating global water scarcity, farmers and policymakers are grappling with the challenge of sustainable water management. A recent study published in *Environmental Research Letters* offers a promising solution: crop diversification

In the lush orchards of Yunnan, China, a silent battle is waging against loquat farmers, threatening their livelihoods and the market value of their crops. Postharvest diseases, caused by a variety of fungal pathogens, are a significant concern for f

In a significant stride towards sustainable agriculture, researchers have successfully developed a method to cultivate *Drimys winteri*, a native Chilean tree known for its potent antifungal properties, through micropropagation. This breakthrough, pu

In the heart of California’s Silicon Valley, a team of researchers led by Jerry Gao from San Jose State University is harnessing the power of artificial intelligence to revolutionize crop disease management. Their recent study, published in *Remote S

In an era where global markets are increasingly interconnected, understanding the ripple effects of energy price fluctuations on food security has become paramount. A recent study published in the journal *Systems* sheds light on how international cr

In the heart of Costa Rica, a team of researchers has developed a groundbreaking deep learning system that could revolutionize bovine sperm morphology analysis, a critical process in assessing bull fertility. This innovation, led by Francisco Sevilla