Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/541332
Title: An Ensemble Approach for Crop Yield Estimation Based on Phenotype
Researcher: Iniyan, S
Guide(s): Jebakumar, R
Keywords: Computer Science
Computer Science Software Engineering
Engineering and Technology
University: SRM Institute of Science and Technology
Completed Date: 2023
Abstract: All the inhabitants of the world belong to agrarian society, though they have been sailing on in different boats because for survival, every human being need food. Agriculture is the only source that all the people rely on for food. As the world has become populous, it is under pressure to bring demand and supply graph at optimum level. When it is not done, there will be hue and cry in all the countries and theory of survival of the fittest would cause riots and revolts. Hence, every country in the world has to concentrate much on agriculture to meet out emerging demands for food by improving the agrarian societies as much as possible. Focusing on such crises arise all over the world, this research work contributes a little for improving food production by helping the farmers to obtain adequate knowledge and facilities in selecting suitable crops based on predicting the crop yield prior and detecting the diseases that affect the plants well in advance newline
Pagination: 
URI: http://hdl.handle.net/10603/541332
Appears in Departments:Department of Computer Science Engineering

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01_title page.pdfAttached File170.58 kBAdobe PDFView/Open
02_preliminary page.pdf667.11 kBAdobe PDFView/Open
03_content.pdf222.06 kBAdobe PDFView/Open
04_abstract.pdf262.61 kBAdobe PDFView/Open
05_chapter 1.pdf507.93 kBAdobe PDFView/Open
06_chapter 2.pdf337.27 kBAdobe PDFView/Open
07_chapter 3.pdf1.64 MBAdobe PDFView/Open
08_chapter 4.pdf1.67 MBAdobe PDFView/Open
09_chapter 5.pdf945.3 kBAdobe PDFView/Open
10_chapter 6.pdf150.33 kBAdobe PDFView/Open
11_annexures.pdf388.55 kBAdobe PDFView/Open
80_recommendation.pdf187.22 kBAdobe PDFView/Open
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