A simple machine learning based website which recommends best crop to grow, fertilizers to use for your crops
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Farming is one of the major sectors that influences a country’s economic growth.
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In country like India, majority of the population is dependent on agriculture for their livelihood. Many new technologies, such as Machine Learning and Deep Learning, are being implemented into agriculture so that it is easier for farmers to grow and maximize their yield.
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In this project, I present a website in which the following applications are implemented; Crop recommendation, Fertilizer recommendation and respectively.
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I have also made some visuals about the production of a crop/fruit for the total year of production,and the states which are contributing the most for a particular crop/fruit
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In the crop recommendation application, the user can provide the soil data from their side and the application will predict which crop should the user grow.
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For the fertilizer recommendation application, the user can input the soil data and the type of crop they are growing, and the application will predict what the soil lacks or has excess of and will recommend improvements.
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- Crop recommendation dataset (custom built dataset)
- Fertilizer suggestion dataset (custom built dataset)
- Disease detection dataset
This website is deployed at Heroku
You can access it here
- Crop Recommendation system ==> For this go to the Predict section and then enter the corresponding nutrient values of your soil, Note that, the N-P-K (Nitrogen-Phosphorous-Pottasium) values to be entered should be the ratio between them. the crop Recommender system will suggest which type of crop/fruit to grow and will also suggest the fertilizer which must be used in order to increase production.
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