Solapa4 is a company that participated in the Batch 1 cohort of The Yield Lab in January 2015.
S4 is a developer of an agricultural management platform designed to improve agricultural yield and manage agricultural risk. The company's platform offers data analytics as well as decision-making tools and risk management services to financial, agribusiness, and farmers to improve agricultural production processes and protocols and improve agricultural planning.
S4 markets their technology platforms for agricultural producers, suppliers, financial agents, traders, and for customer relationship channels.
S4Go is a platform for agricultural producers capable of estimating historical and actual yields based on a productivity profile. The data analytics platform uses satellite technology to identify the product and technology for a specific fields. These include genotypes, populations, planting dates, and fertilizer rates. And the platform offers suppliers better management of their products. During growth seasons, S4Go offers crop growth monitoring and benchmarking to historical growth and historical county averages to understand crop evolution through seasons. These data points also allow S4Go to provide yield estimates.
The platform also offers users high resolution satellite imagery, weather forecasts, flood monitoring and configurable alerts.
S4Risk is another data platform offered by S4 to help agricultural producers to know the climatic risk of their products. The platform is intended to help users reduce crop risk and investment risk. Included in the platform is a simulator to help producers understand their growth performance and select necessary protection in the case of drought or flood. And through longer term use, the platform can begin to anticipate crop yield and provide users historic benchmarks for their growth.
For the platform to work, S4Risk uses satellites to generate geospatial data and databases. On top of this data, S4 has developed artificial intelligence and related algorithms with spatial data science techniques to find patterns, and classify and develop models explaining potential crop growth.
S4 participated in the Batch 1 cohort of The Yield Lab in January 2015.
