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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
This paper explores the role of data processing in optimizing organic farming practices. Or-ganic farming is gaining popularity worldwide due to its sustainable approach and reduced environmen-tal impact. However, organic farmers face several challenges in maximizing their yields and maintaining profitability. By utilizing data processing techniques such as precision farming, data analytics, and ma-chine learning, organic farmers can gather valuable insights and make informed decisions on crop man-agement, soil health, and pest control. This paper presents a review of literature on the global and Indian perspectives of organic farming trends and identifies the opportunities and challenges for optimizing or-ganic farming through data processing. Additionally, this paper provides suggestions on how organic farmers can leverage data processing techniques to improve their farming practices, collaborate with in-dustry experts, and access government support and funding. Overall, this paper highlights the importance of data processing in achieving sustainable and profitable organic farming practices.
Keyword
Organic farming, Data processing, Data analytics, Sustainable agriculture, optimization, Machine Learning.
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