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Customer success story · /case_study/empowering-leading-flour-millers-in-nigeria-with-deep-intelligence-led-farming-solution

Empowering leading Flour Millers in Nigeria with deep intelligence led farming solution

Cropin analyzed 11,820 ha across 13 states, achieving 85% yield prediction accuracy and empowering 2,500+ soybean farmers.

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Customer success story1 min read

Crop detection & acreage estimation

  • Analyzed earth observation data to distinguish crops from other plants and objects
  • Used NDVI signature for classifying the crops as wheat or non-wheat in 13 states
  • Identified estimate of the total area of land that was used for wheat production

Yield prediction

  • Wheat crop yield was computed from sowing to harvest
  • The total wheat production was calculated as the product of yield per hectare and the total land area cultivated
  • Analysed pixel-wise data for a 10x10 grid in the country to predict crops and yield with high accuracy.

Our impact:

2500+ soybean farmers engagement

13

States in Nigeria

91 Mn acres digitized on the Cropin platform

11,820

Hectares Analyzed

Canopy greenness accuracy

85%

Accuracy in Yield Prediction

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