Crop Recommendation System

Autor: Soumya Gite, Bhakti Mejari, Janhvi Gujare, Rutaj Damodare, Prof. Nishikant Khaire, Prof. Smita Kharade
Rok vydání: 2023
Předmět:
Zdroj: International Journal for Research in Applied Science and Engineering Technology. 11:482-485
ISSN: 2321-9653
DOI: 10.22214/ijraset.2023.49976
Popis: 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.
Databáze: OpenAIRE