Paper Title
A SURVEY FROM MACHINE LEARNING TO DEEP LEARING ALGORITHMS ON AGRICULTURE
Article Identifiers
Authors
Mrs. E.KANIMOZHI , Dr. T. PRABHU
Keywords
A SURVEY FROM MACHINE LEARNING TO DEEP LEARING ALGORITHMS ON AGRICULTURE
Abstract
Crop yield has been forecasted using ecological, soil, water, and crop nutrient proportions in a probable research design. A variety of factors such as weather circumstances, earth quality, irrigation and level of ground water should be considered while forecasting the crop yield. Numerous models based on deep learningare used to mine handy information about the crop yield. The proposed model implements an Ensemble based Deep Learning model for forecasting the crop yield based on the crop nutrient proportion and other external factors. The result comparison ensures that the proposed model is better in forecasting the crop yield with higher accuracy and minimal errors than various existing models.
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How To Cite (APA)
Mrs. E.KANIMOZHI & Dr. T. PRABHU (May-2023). A SURVEY FROM MACHINE LEARNING TO DEEP LEARING ALGORITHMS ON AGRICULTURE. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), c279-c284. https://ijnrd.org/papers/IJNRD2305238.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : c279-c284
Other Publication Details
Paper Reg. ID: IJNRD_193829
Published Paper Id: IJNRD2305238
Downloads: 000121983
Research Area: Engineering
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305238.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305238
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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