Our solution

Wageningen Agricultural Monitoring provides a forecast of the expected yield every month of the growing season, in every stage of plant growth. This forecast is not just a number, but it is supported with insights on crop development during the past period, spatial patterns in yield development and quality characteristics of the forecasts. We can do this for any crop in the world, anywhere.

To predict yields (or end-of-season harvest), we rely on our understanding of plant growth, weather and soil influences. Using agro-meteorological knowledge, we build and use virtual models of plant growth using agricultural statistics on past yields, soil data, historic weather patterns, weather forecasts and earth observation data. The good news is that these data sources are publicly available, and using our Big Data pipeline and analytics environment are combined to understand the growth of the plant, and ultimately the production of agricultural products.