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| Paper Title: | Crop Recommender System Using Machine Learning Approach |
| Authors Name: | K. Prem Veer , DR. K. P. Kaliyamurthie |
| Unique Id: | IJSDR2305146 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | Agriculture is a place that performs an vital role in improving the country's financial system. Agriculture is what has contributed to human improvement. India is an agricultural united states and its economy relies upon specially on fruit plants. Agriculture is the core of the whole lot in our united states. Crop selection is essential in agricultural organisation. The dedication of the yield may be based on various factors, along with market fee, production stages and the state's very own regulations. Many agricultural reforms are necessary to enhance our Indian financial system. Improvements in agriculture may be carried out the usage of device studying techniques which can be efficiently carried out to agriculture. Along with all of the things in the discipline of machines and innovations used in agriculture, precious and correct statistics on numerous issues also plays a massive function in it. The purpose of the system is to put into effect a regressor tree judgment, a random woodland, yield dedication technique, in order that this decision facilitates to solve many troubles of agriculture and farmers. This is improving our Indian economy to yield extra plants. Key Words: Random Forest , Crop recommendation. |
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| Cite Article: | "Crop Recommender System Using Machine Learning Approach", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.950 - 956, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305146.pdf |
| Downloads: | 000223171 |
| Publication Details: | Published Paper ID: IJSDR2305146 Registration ID:206399 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 950 - 956 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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