Sencrop offers a variety of sensor types and is a well-known choice for farmers due to its ease of use, affordability, and connectivity options.

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 DSS that supports vineyard management by integrating weather data, sensor information, and predictive models for better decision-making.

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 decision support system designed for fruit growers, focusing on pest and disease forecasting to improve crop protection strategies.

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