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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | AGRICULTURE CROP RECOMMED SYSTEM BASED ON PRODUCTIVITY AND SEASON |
| Authors Name: | Duggireddy Pravallika , Bhanu Prasad M.C |
| Unique Id: | IJSDR2303103 |
| Published In: | Volume 8 Issue 3, March-2023 |
| Abstract: | As a coastal nation, Tamil Nadu is going through agricultural uncertainty, that's lowering its manufacturing. With greater humans and area, greater merchandise might be produced, however it cannot be. In past a long time, farmers had phrase of mouth, but now they can't be used due to climatic elements. Agricultural statistics and parameters provide insight into agricultural records. The growth of statistics technology brings a few crucial trends in agricultural sciences to help farmers with precise agricultural information. In this strolling state of affairs, information approximately the utility of present day technological strategies inside the subject of agriculture is suited. Machine gaining knowledge of strategies really provide an explanation for the sample with the information and assist us make predictions. Agricultural problems consisting of crop availability, crop rotation, water requirements, fertilizer requirements and protection can be addressed. Due to the various reasons of the climatic surroundings, it is essential to have an efficient system to facilitate the cultivation of plants and to assist farmers in production and control. This will help future farmers to enhance agriculture. An advice device may be furnished to the farmer to assist him get his plants via the mines. To enforce this approach, vegetation are advocated in phrases in their climatic elements and amount. Data analytics paves the manner for growing beneficial extracts from agricultural databases. The crop dataset become analyzed and crop pointers have been made based on yield and season. |
| Keywords: | Machine learning, crop recommendation, Data Pre-processing, Crop Prediction, Productivity |
| Cite Article: | "AGRICULTURE CROP RECOMMED SYSTEM BASED ON PRODUCTIVITY AND SEASON", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.630 - 635, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303103.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR2303103 Registration ID:204544 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: 630 - 635 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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