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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Smart Agriculture System: Crop Yield Prediction Using Machine Learning
Authors
Shaik Ayesha Siddiqa, Sk.Md.Rafi
Keywords
Abstract
In situations where vast amounts of data are being gathered and published, machine learning is a potential solution. In order to estimate large-scale agricultural yields, we applied machine learning techniques to agronomic principles. A workflow that emphasises consistency, modularity, and reusability serve as a baseline for the project. To ensure accuracy, I worked to create predictors or traits that could be explained and then used machine learning without leaking any information. MCYFS data from the weather, remote sensing, and soil sensors was used to generate new functionalities. Smaller configuration adjustments allow us to handle many different crops and countries with our modular and reusable work flow design. Standard input data and the methodology can be utilized for repeatable tests with repeatable outcomes. It is from these findings that we may go on to refine our algorithms even further.
IJCRT's Publication Details
Unique Identification Number - IJCRT2511446
Paper ID - 296708
Page Number(s) - d685-d691
Pubished in - Volume 13 | Issue 11 | November 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Shaik Ayesha Siddiqa, Sk.Md.Rafi, "Smart Agriculture System: Crop Yield Prediction Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 11, pp.d685-d691, November 2025, Available at :http://www.ijcrt.org/papers/IJCRT2511446.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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