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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

Yield and Income Estimation of Maize Farmers per Harvesting Using K-Means Clustering Algorithm

Ms.M.Jaishanthi, Mr.C.Rajkumar, Mr.P.Vengatesh

DOI: 10.17148/IJARCCE.2022.11512

Abstract: Standardization of crop yield estimating methodologies at various levels of farming aids in the development of accurate agricultural statistics and the evaluation of agricultural practises' acceptability under diverse production situations. The current research examines various strategies for estimating maize yields.It examines the yield difference between maize and other crops, taking into consideration available yield factors.produce potential and attainability The simplest and most reliable approaches for estimating yield are based on yield parameters gathered on the job Farmer estimating approaches, on the other hand, are less expensive and speedier in comparison to any other way of estimating yields from farmers' fields. This document also goes into detail about the significance of using more advanced yield estimation approaches, such as remote sensingas well as crop modellingThese complicated approaches are more time-consuming.

How to Cite:

[1] Ms.M.Jaishanthi, Mr.C.Rajkumar, Mr.P.Vengatesh, “Yield and Income Estimation of Maize Farmers per Harvesting Using K-Means Clustering Algorithm,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11512