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(sunlight, temperature, humidity, electrical conductivity, rainfall). Capture the data with all this information. The idea is to get the data in the platform or upload the excel data (via .csv, .txt or xml) to the application, compare with the historical farm parameter data, develop a model/algorithm & be able to forecast yield and display the o…

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AgriculturalProduceForecast

Web Application in app.py Model building in models/Agriculture.ipynb

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(sunlight, temperature, humidity, electrical conductivity, rainfall). Capture the data with all this information. The idea is to get the data in the platform or upload the excel data (via .csv, .txt or xml) to the application, compare with the historical farm parameter data, develop a model/algorithm & be able to forecast yield and display the o…

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