INTELLIGENT CROP RECOMMENDATION SYSTEM BASED ON SOIL CONDITIONS.
In: Journal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research), Jg. 14 (2023-12-30), Heft 12, S. 1281-1289
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Zugriff:
Farming is the primary lifestyle in numerous nations, particularly India. Assuming they have never worked, youthful ranchers may not realize which yields to plant and which ones to pick. We're taking care of on this problem, which should be fixed. In the event that you can foresee the right yield and result, you can go with better choices, set aside cash, and hold the gamble of cost changes under wraps. Rather than our framework, which utilizes classification and relapse to sort out crop assortment ideas and result appraises, the ongoing framework isn't being utilized. ML strategies ought to be utilized in the cultivation business to foresee the quantity of harvests that will become in view of a bunch of information. The directed ML technique is utilized to take a gander at a dataset and pull information from various sources, like variable unmistakable confirmation, univariate examination, bivariate and multivariate investigation, missing worth frameworks, and so forth. To figure out which program was supposed to give the best return, ML recipes were investigated. While seeing entropy precision, accuracy, recall, F1 Score, sensitivity, specificity, and entropy, the outcomes show that the recommended ML strategy is the most reliable. [ABSTRACT FROM AUTHOR]
Titel: |
INTELLIGENT CROP RECOMMENDATION SYSTEM BASED ON SOIL CONDITIONS.
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Autor/in / Beteiligte Person: | Praveen, S. ; Siddiqua, Shabiya |
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Zeitschrift: | Journal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research), Jg. 14 (2023-12-30), Heft 12, S. 1281-1289 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 0975-3583 (print) |
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