Toward an agricultural investor space: A plant prediction framework using KNN
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Date
2022-06-10
Journal Title
Journal ISSN
Volume Title
Publisher
UNIVERSITY of M'SILA
Abstract
The study aims to find a framework which is a link between the Chamber of Agriculture, the investor and the market. Where it was relied on the information of the state of M'sila. In the study, we relied on the KNN prediction mechanism in order to optimally invest in the most suitable product for wilaya of M'sila , after collecting data, which are the climatic and soil characteristics of wilaya M'sila from previous studies, where the study was divided into a theoretical and an applied side, in which the framework was able to find the most plants to be cultivated in a given investor land. The study reached a set of results, the most important of which is that we can diversify and invest in agricultural products in an economic way.
Description
Keywords
Investor space, classification of data , agriculture, KNN, agricultural investment , new plant diversity in the state of M'sila .