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)
Agriculture is one amongst the substantial area of interest to society since a large portion of food is produced by them. Agriculture is the most important sector that influences the economy of India. Predicting crop yield based on the environmental, soil, water and crop parameters has been a potential research topic. Agriculture for years but the results are never satisfying due to various factors that affect the crop yield. Deep-learning-based models are broadly used to extract significant crop features for prediction. Though these methods could resolve the yield prediction problem there exist the following inadequacies: Unable to create a direct non-linear or linear mapping between the raw data and crop yield values; and the performance of those models highly relies on the quality of the extracted features. Finally, the agent receives an aggregate score for the actions performed by minimizing the error and maximizing the forecast accuracy. The input is taken from the dataset repository. The system is developed with the KNN and Logistic regression for predicting the crop .Finally, the experimental results shows that the accuracy, precision, recall, and f1-score.
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"INTELLIGENT BASED CROP PREDICTION FOR AGRICULTURE APPLICATION ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g280-g289, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305634.pdf
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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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