A simulation model for evaluating the effects of cropping systems on crop yield, water use, and environmental impact.

A crop water productivity model that simulates crop yield response to water, helping optimize water use in irrigation.

A satellite-based system that provides global agricultural monitoring by tracking crop conditions and productivity through remote sensing data.

A decision support tool aimed at improving crop protection by providing real-time recommendations for pesticide use based on sensor data and predictive models.

A system providing olive farmers with tailored recommendations for optimizing irrigation, fertilization, and pest management based on real-time data.

A comprehensive farm management platform offering tools for data collection, monitoring, and decision support across multiple crop types.

A powerful crop simulation software that helps farmers and researchers predict crop growth and yield based on weather, soil, and management inputs.

A digital platform for precision agriculture that integrates data from sensors, satellite imagery, and decision support tools for improved farm management.