optimization of agriculture production

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Optimization of Agriculture production

This model predicts the best cropping patterns under given constraints.

Depending on the model applied for measuring the economic impact of climate change and other perils, different techniques are employed. Python programming, Visualization libraries are used for Data analysis when the best possible option among a set of feasible options should be made. Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerous seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead toa great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil type, temperature, atmospheric pressure, humidity and crop type. Whereas, crop forecasting can be predicted by deriving useful insights from these agricultural data that aids farmers to decide on the crop they would like to plant for the forthcoming year leading to maximum profit. Here is the link for the code and data

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Here is the detailed documentation

2 (1).pdf

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• [x] Preprocessing
• [x] Analyzing
• [x] Algorithm
• [x] model deployment
• [x] production