Several firms across Europe are developing and launching new technologies for measuring the nitrogen requirements of arable crops. Improving nitrogen use ...
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 ...
Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
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) ...
Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
Abstract: Machine learning has built this crop yield predictability by complex analysis of advanced agriculture algorithms on multiple features like Temperature, Humidity, PH of soil, Types of crops, ...
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
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