The study sheds light on the widespread use of CPS in crop management, smart greenhouses, precision irrigation, livestock ...

A team of researchers has turned the keen eye of AI toward agriculture, using deep learning algorithms to help detect crop disease before it spreads. Skip to main content Menu ...

FAYETTEVILLE, Ark. — A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor ...

The developed system is equipped with artificial intelligence and machine learning (AI/ML) technology and the objective is to predict the onset of diseases based on multiple parameters,” said ...

Companies like Taranis, founded in 201, are capitalizing on advances in computer vision, machine learning, and commercial drone technology, and they're coming up with novel solutions to help.

They’re currently sending in about 5,000 pictures a day and the app is able to recognize up to 400 diseases or pests. The most common include soya bean and wheat rust, powdery and downy mildews ...

By applying machine learning algorithms such as logistic regression, the system provides early warnings to authorities, aiming to reduce agricultural and environmental losses.

Using the app, the farmer snaps a photo at a specific part of the plant, and the machine learning algorithms analyze the image to determine whether the damage to the plant is from fall armyworm ...