Toward an agricultural investor space: A plant prediction framework using KNN

dc.contributor.authorBentameur, Achwak
dc.contributor.authorSupervisor: MEHENNI, TAHAR
dc.date.accessioned2022-10-02T10:43:39Z
dc.date.available2022-10-02T10:43:39Z
dc.date.issued2022-06-10
dc.description.abstractThe 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.en_US
dc.identifier.urihttp://dspace.univ-msila.dz:8080//xmlui/handle/123456789/32732
dc.language.isoenen_US
dc.publisherUNIVERSITY of M'SILAen_US
dc.subjectInvestor space, classification of data , agriculture, KNN, agricultural investment , new plant diversity in the state of M'sila .en_US
dc.titleToward an agricultural investor space: A plant prediction framework using KNNen_US
dc.typeThesisen_US

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