Crop Recommendation System
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Published:2023-04-30
Issue:4
Volume:11
Page:482-485
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ISSN:2321-9653
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Container-title:International Journal for Research in Applied Science and Engineering Technology
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language:
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Short-container-title:IJRASET
Author:
Gite Soumya,Mejari Bhakti,Gujare Janhvi,Damodare Rutaj,Khaire Prof. Nishikant,Kharade Prof. Smita
Abstract
Abstract: Agriculture is the practice of cultivating natural coffers to sustain mortal life and give profitable gain. It combines the creativity, imagination, and skill involved in planting crops and raising creatures with ultramodern product styles and new technologies. It's necessary element for the actuality and elaboration of the Indian frugality. Beforehand these days, crop product done by growers was practical moxie. Not growers are suitable to elect the stylish applicable crop grounded on characteristics and features of soil. So, a recommendation system has been developed that applies Machine Learning Algorithm to recommend a particular crop that can be gathered in that soil. A Neural Network arranges algorithms in a fashion that it can make accurate opinions by itself. therefore, although Machine learning models can learn from data, in the original stages, they may bear some mortal intervention. Neural networks don't bear mortal intervention as the nested layers within pass the data through scales of colorful generalities, which ultimately makes them able of learning through their own crimes.
Publisher
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by
2 articles.
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1. Crop Yield Prediction;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21
2. A Machine Learning-Driven Crop Recommendation System with IoT Integration;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02