What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...
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 ...
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 ...
Abstract: Crop recommendation refers to the process of suggesting suitable crop varieties for cultivation in a specific agricultural area or on a particular piece of land based on various factors and ...
1 Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China 2 Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, ...
1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Malacca, Malaysia. 2 Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP) ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
1 Department of Biotechnology, Institute of Applied Sciences & Humanities, GLA University, Mathura, Uttar Pradesh, India 2 Department of Environmental Management, Institute of Environmental ...
For millennia, the development of new tools has been key to major leaps forward in agricultural efficiency and environmental management. But what kind of tool could help us monitor the welfare of ...
KisanSahayak is a smart agriculture web application aimed at providing Indian farmers with data-driven insights using advanced machine learning, rainfall analysis, crop recommendations, and disease ...
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