Crop yield prediction is an essential task
for decision
-making
Why Yield Prediction?
For food security, understanding the food system is essential. Accurate crop type details in near real-time will provide insights on the food system for policymakers and will provide information on crop diversity and nutrition outcomes. Moreover, it makes possible for growers to adapt their market entry strategy upon what they are expecting to get from their lands.
How It Works
The prediction of crop yield is based on soil, meteorological, environmental, and crop parameters. The data sources are used in conjunction with one another, each making up a different weighting on yield prediction numbers based on the current scenario for the cropping season in different regions. Our yield prediction service utilizes these data sources combined with the latest advancements in machine learning to predict yield values.
WE TRANSFORM DATA INTO A NUTRIENT
AgriEdge is an intrapreneurial OCP Business Unit incubated at Mohammed VI Polytechnic University of Benguerir (UM6P)
Specializing in precision agriculture, its ambition is to rationalize the use of agricultural resources, by making agriculture more productive and more efficient while meeting the challenges of sustainable production as laid down by the objectives of sustainable development.
Its expertise in the use of data is translated into decision-making proposals for the farmer in order to allow him to maximize his yield and profitability.