ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Abstract: Accurate in-season crop yield prediction is critical for timely agricultural decision-making, food security, and climate-resilient farm management. This study presents a framework for ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Agriculture forms the backbone of human survival and economic development, especially in countries like India where most of its people survive through agricultural means [1]. As the population of the ...

Introduction: Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods ...

Accurate almond yield prediction is essential for supporting decision-making across multiple scales, from individual growers to international markets. This is crucial in the Mediterranean region, ...

Google CEO Sundar Pichai sees irrationality in the AI boom and warns no company would be unscathed if the bubble pops. The SPDR Dow Jones Industrial Average ETF (DIA) has 9 of its top 10 holdings ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Despite strong crop yields expected in 2025, many American farmers are concerned about their financial outlook. Trade tensions and tariffs have led to China boycotting American soybeans, causing ...