By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a ...

The application of this program includes drought assessment, and monitoring, estimation of crop area and production, analysis of cropping system ... yield prediction from remote sensing data using ...

Increasing agricultural yields ... analysis has a use at both macro and micro levels. Armed with data from drones and tractor-mounted sensors, machine-learning algorithms can monitor crops and ...

These technologies enable scientists to gather extensive data over vast geographic areas and periods, providing insights essential for informed decision-making. Monitoring agricultural crop ... of ...

Exploratory data analysis is the initial step in this project, and HeatMap is used to check the dataset for null or missing values. 4. Crop Monitoring ... actions to improve yields and quality. 5.

We chose this unrealistic plan in terms of agronomy to separate completely the influence of each crop model on the results. After some exploratory analysis ... by using a machine learning algorithm ...