Author name: Lucille Davis

In a groundbreaking study published in *Nature Communications* (translated from Chinese as “Nature Communications”), researchers have uncovered a multi-faceted solution to optimize manure use in agriculture, offering significant benefits for crop yie

In the wake of unprecedented economic turbulence, a team of researchers led by Matthew J. MacLachlan from the Department of Population Medicine and Diagnostic Sciences at Cornell University has developed a novel approach to food price forecasting tha

In the heart of London, a team of researchers led by James Hardwick from the Department of Computer Science at University College London has developed a groundbreaking system that could revolutionize the way seeds are sorted in the agricultural indus

In a groundbreaking development that could reshape the future of food production, researchers have successfully demonstrated the potential of 3D bioprinting to create hybrid foods combining plant and animal cells. This innovative approach, detailed i

In the heart of China’s rural revitalization efforts, a groundbreaking study led by Xueli Dong from the School of Management at Zhengzhou College of Finance and Economics is harnessing the power of artificial intelligence to transform smart village c

In the heart of Nigeria’s burgeoning agritech scene, a groundbreaking study is challenging the status quo of artificial intelligence (AI) and machine learning (ML) applications in poultry farming. Led by Azubuike Erike from the Software Engineering D

In the heart of China’s Guangdong Province, a team of researchers led by Sheng Yu at Shaoguan University has developed a groundbreaking deep learning framework that could revolutionize plant disease identification. The Swin Transformer with Convoluti

In the rapidly evolving world of smart agriculture, the need for efficient and accurate pest detection has never been more critical. Traditional methods often fall short due to their computational complexity, making them ill-suited for real-time appl

In the heart of Pakistan, where the golden fields of winter wheat stretch across the landscape, a groundbreaking study is set to revolutionize how we predict crop yields. Led by Muhammad Ashfaq from the Department of Software Engineering at the Inter

In the rapidly evolving world of precision agriculture, a groundbreaking study has emerged that could revolutionize how farmers detect and manage tomato leaf diseases. Published in the esteemed journal *Scientific Reports* (translated to English as “