SpaceAG offers an agricultural software platform that integrates field evaluation data with drone and satellite imagery. Its mobile application digitizes crop management, replacing paper records and spreadsheets with automated reports and alerts to improve decision-making for growers.
Funding
Funding not disclosed
Founders
Product
Problem
Agricultural operations often rely on manual data collection and outdated systems, leading to inefficiencies in field evaluations, data integration, and decision-making. This can result in increased operational costs, reduced yields, and difficulty in maintaining quality control across various agricultural processes.
Solution
SpaceAG provides a suite of agricultural software modules designed to digitize and streamline farming operations, integrating field data with advanced technologies such as drone and satellite imagery. The platform includes a mobile app for field data collection, replacing traditional paper records with digital evaluations that can be performed offline with geolocated data. A web platform integrates data from the mobile app with other sources, providing real-time reporting and alerts to facilitate informed decision-making. SpaceAG's modular approach allows growers to select specific solutions for phytosanitary management, irrigation, labor management, packing operations, and phenology tracking, optimizing resource allocation and improving overall efficiency.
Target Audience
SpaceAG targets medium to large-sized agricultural producers, particularly those growing high-value crops, who seek to improve operational efficiency, reduce costs, and enhance decision-making through digital transformation.
Features
- Mobile app for offline data collection with geolocalization capabilities
- Web platform for integrating field data with satellite and drone imagery
- Customizable digital evaluation forms tailored to specific crop and operational needs
- Real-time reporting and alerts for timely decision-making
- Fitosanidad module for pest and disease detection and management, including application planning and monitoring
- Riego module for irrigation management, identifying uniformity issues and optimizing water usage
- Trabajadores module for labor management, optimizing workforce allocation and performance tracking
- Packing module for post-harvest operations, ensuring quality control and efficient asset management
- Fenología module for tracking crop development stages and improving yield forecasting
- Integration with external systems and IoT sensors for comprehensive data analysis