INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This paper proposes a machine learning-based harvest forecasting system to assist farmers in selecting the most valuable crops and predicting the yield of a chosen crop. The system utilizes GPS to identify the user's location and soil type as inputs. Five machine learning algorithms, including Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest (RF), Multivariate Linear Regression (MLR), and k-Nearest Neighbors (KNN), are used to predict crop yields. The Random Forest algorithm achieved the highest accuracy of 95%. The system also suggests the optimal time to apply fertilizers to crops.
Keywords:
Decision timber, random forests, crop choice, yield forecasting.
Cite Article:
"Harvest Forecasting Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g641-g646, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404678.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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