Dr Pachhaiammal Alias Priya M, J.Jeyaganesan, A.Sathiya, S.Keerthana.
Abstract
Automated quality assessment of crops is the problem of assessing the quality of the crops so that required necessary actions can take place timely to minimize the loss to crops and also create a transparency while selling the crops to the end user. In the existing, there is no machine learning or automated system to access the quality of crops. Right now, the crop quality is accessed manually. In this study, an OpenCV based automated quality assessment method will be exploited for assessing the quality of the crops in the Indian context. For Computer Vision and Machine Learning process, PyCharm tool is used for analysing the input images and extract the feature values according to the grade of the crops. The values are stored in a path which would be accessed by Java to showcase the pricing, connecting nearby farmers with the end users using data mining algorithms.
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
We use cookies and other tracking technologies to work properly, to analyze our website traffic, and to understand where our visitors are coming from. More InfoGot It!
