When we started Bountiful Agriculture in 2015, the grape error rate for predicting production was 30 percent. Why? We found that many farmers in the specialty crops space were still using traditional pencil-and-paper techniques to predict yield. These low-fidelity forecasting methods weren’t giving them a clear enough understanding of their production until it was too late, leading to waste and inefficiency throughout the supply chain.
We saw a problem we wanted to solve.
Today, Bountiful Agriculture is using advanced data science to help farmers forecast more accurately, allowing them to make better decisions. In the last three years, we’ve combined the latest in machine learning with weather, satellite, geographic, and historical data. The result is a user-friendly platform that transforms volumes of complex agricultural information into simple, actionable insights farmers can use to run more economically and environmentally sustainable farms.
More recently, we’re working to open the dialogue between buyers and sellers, remove uncertainty, and provide clarity to the supply chain to meet global food demand.
Our ultimate goal is to close the agricultural margin of error. Not only will this make individual farms more efficient, profitable, and sustainable, but it will help optimize the global food supply chain. And we believe, at Bountiful Agriculture, that means healthier people and a healthier planet.
We are a team of eight people made up of experts in agriculture, data science, remote sensing, and engineering. Our team of experts comes from NASA, California Polytechnic State University, San Luis Obispo, University of California, Berkeley, California Institute of Technology and Pennsylvania State University. We have dedicated the last four years to perfecting our craft of understanding where, how, and why crop production results will be what they are. We focus on innovating new ways to use data and analytics in conjunction with agronomy to optimize the agriculture industry.
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