
foris.io™ is an individualized management system using data pertinent to calculating soil health for smart irrigation, fertilization, and better crop yield. We will be using the available sensors, meters, and other data-generating sources used on farms capable of sensing soil moisture, salinity, weather, pH, nitrogen, and carbon, among other data, relevant to the crop and soil health. We will incorporate weather, atmospheric data, crop information, historical data, and academic modeling. With the help of machine learning, artificial intelligence and the cognitive computing of IBMs Watson, we will 'learn' to use all of this data to develop a 'thinking decision model' by crop type. The foris.io system will help growers manage 'just enough • just in time™' use of their resources enabling irrigation and energy efficiency and the capability of making soil health decisions with better accuracy.

foris.io™ is an individualized management system using data pertinent to calculating soil health for smart irrigation, fertilization, and better crop yield. We will be using the available sensors, meters, and other data-generating sources used on farms capable of sensing soil moisture, salinity, weather, pH, nitrogen, and carbon, among other data, relevant to the crop and soil health. We will incorporate weather, atmospheric data, crop information, historical data, and academic modeling. With the help of machine learning, artificial intelligence and the cognitive computing of IBMs Watson, we will 'learn' to use all of this data to develop a 'thinking decision model' by crop type. The foris.io system will help growers manage 'just enough • just in time™' use of their resources enabling irrigation and energy efficiency and the capability of making soil health decisions with better accuracy.
Founded: June 2, 2016
Headquarters: Oakland, California, United States
Product: Data-driven soil-health management system for smart irrigation and fertilization
Founder / CEO: Victoria Vegis
Agriculture technology (AgTech); soil health, irrigation and fertilization optimization.
2016
AgTech
Last disclosed funding event per available records.