International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Smart Farmer: Deep Learning-Based Surveillance Application for Home Gardeners

Abstract

This paper presents a smart farming system designed for home farmers to identify deficiencies, pests, and weeds in their crops. The proposed system employs deep learning and image processing techniques to analyze images captured using a mobile phone camera. The system comprises four components, each responsible for identifying a specific type of damage. The isolated component is then analyzed using a deep learning model to determine the type of damage and provide remedial actions. The proposed system has the potential to improve crop health, increase yield, and reduce costs associated with ineffective remedial actions. The results of our experiments demonstrate the effectiveness of the proposed system in identifying and diagnosing crop damage.

Country : Sri Lanka

1 M.D.S. Warnasooriya2 G.D.M. Godahewage3 G.S. Manukalpani4 B.V.C. Bhashini5 Suriyaa Kumari6 Supunya Swarnakantha

  1. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 6, June 2023 pp. 50-56

doi.org/10.47001/IRJIET/2023.706009

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