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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Farming is the process of cultivating soil and producing crops. This has been the basic survival mode for the farmers. Farming and agriculture are critical to a country’s economy. Till date many farmers cultivate the soil and plan for producing crops has been done using the traditional farming techniques. These techniques were not precise and resulted in reduced productivity and also consumed a lot of time. The aim of this work is to help farmers choose the appropriate crop, cultivate them efficiently. By planting the appropriate crop and planting them at the correct time may help the farmers in achieving high productivity at low cost. Thus, the recommendation system ORS proposed in this paper recommends the farmers with an appropriate crop based on various parameters like the demand for that particular crop and the time it is sown. A sample dataset Crop Recommendation dataset was initially used for building the ORS model.
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