Farming is one of the major sectors that influences a country’s economic growth. In country like India, majority of the population is dependent on agriculture for their livelihood. Many new ...

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 ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...

Google is testing a machine learning-powered tech in the U.S. to determine the age of users and filter content across all its products accordingly. The company said it will consider data from Google ...

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 ...

Calvin Hennick is a freelance journalist who specializes in business and technology writing. He is a contributor to the CDW family of technology magazines. Until just a few years ago, the U.S. Air ...

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, ...

Abstract: Crop recommendation is an important part of precision agriculture for crop productivity improvement. Machine learning techniques have been used many times in this domain to analyze ...