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Big Data & Agriculture

The importance of efficient agriculture and food supply concerns can’t be stressed enough. Big Data comes to help in overcoming such concerns.

Some common productivity issues like planting patterns, pesticides dosage, machinery use, weather forecast, are almost eliminated by using Big Data and advanced analytics.

Farmers can for instance:

  1. Predict Crop Yield using Predictive or Machine learning models

  2. Use Image Recognition to o identify defects/diseases/pests in plant, soil, etc.

  3. Get recommendations using Machine learning models that provide treatment options for most common diagnosis of soil and yield defects

  4. Fly drones to monitor and analyze fields and detect crop yield, pest invasion, diseases and  weeds

Big Data in agriculture (called “Smart Farming”) is a fundamental improvement that redefines agronomy and which beneficial results we are merely starting to understand.


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