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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 7, ISSUE 6, JUNE 2020

Smart Fertilizer Distribution System with Crop Yield Prediction: A Review

Bindu.C. A, Ravi.P, Nithin Kumar

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Abstract: Agriculture is one of the important part in almost every country. Sector of agriculture supports various outputs such as economical boost, food, employment and raw material for industry. In the field of agriculture and development, the fertilizer industry plays an important role. Farmers are not receiving the fertilizers in the time when they required and even in the sufficient manner. To overcome this, farmers pre-order the fertilizer to the company based on retailers. Presence of increasing the proper fertilizer distribution system which is in effectively and efficiency. Along with this, farmers will get crop recommendation for the particular soil using Nitrogen (N), Phosphorous (P), and Potassium (K) npk values of soil. Almost every farmer facing most problems in the agriculture, but one of the important problem is Yield prediction. And each farmer is very interested and eager to know how much crops they can grow in their field. The system comes with a model that farmers can reach sufficient fertilizers and farmers can also get the information about the crop recommendation based on npk values and yield prediction based on soil sample, area. This will help to farmers to increase their profit. By using some of the techniques for distribution of fertilizers, farmers can gain benefit for understanding and knowing of agriculture things.

Keywords: Soil sample, crop recommendation, fertilizer distribution, Crop prediction.

How to Cite:

[1] Bindu.C. A, Ravi.P, Nithin Kumar, “Smart Fertilizer Distribution System with Crop Yield Prediction: A Review,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2020.7627

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