Author Login IJIRT Partner Network (IPN) Login

PLANT DISEASE PREDICTION

  • Unique Paper ID: 162943
  • Volume: 10
  • Issue: 11
  • PageNo: 933-939
  • Abstract:
  • The escalating threat posed by plant diseases to global agriculture underscores the urgency for robust prediction systems to mitigate crop losses. This study presents a novel approach to plant disease prediction employing machine learning techniques. Leveraging a comprehensive dataset encompassing plant characteristics, environmental factors, and disease symptoms, a predictive model was developed and evaluated. The methodology involved data collection, preprocessing, feature extraction, and model training using state-of-the-art algorithms. The results demonstrated a significant predictive capability, with an accuracy of [insert accuracy percentage]. This research contributes to the advancement of precision agriculture by offering an effective tool for early disease detection and proactive management strategies. Moreover, it sheds light on the potential of leveraging machine learning in agricultural systems for sustainable food production.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 11
  • PageNo: 933-939

PLANT DISEASE PREDICTION

Related Articles

21 Mar, 2024

VisionIris: Unveiling Identity with CNN

Read More
25 Apr, 2020

SURVEY ON INTERBANK APPLICATION BASED ON BLOCK-CHAIN TECHNOLOGY

Read More
Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry