Author Login IJIRT Partner Network (IPN) Login

Plant Recognition Using CNN and Gardening Support System Using IoT

  • Unique Paper ID: 165047
  • Volume: 10
  • Issue: 12
  • PageNo: 3029-3033
  • Abstract:
  • This project introduces an innovative solution designed to revolutionize plant identification and optimize growth conditions for both gardening and agricultural applications. By harnessing cutting-edge image recognition algorithms, our system accurately identifies a wide array of plant species while furnishing detailed insights including scientific nomenclature, common pests, and associated diseases. Furthermore, it delivers personalized recommendations tailored to individual growth needs, factoring in crucial environmental variables like temperature, humidity, and sunlight exposure. Through empowering users with bespoke guidance, our system endeavors to elevate crop success rates, drive agricultural efficiency, and champion sustainability in plant cultivation practices. This endeavor marks a significant stride in plant care technology, furnishing an indispensable tool for gardening enthusiasts and industry professionals alike to achieve thriving and bountiful plant growth. Cutting-edge technology, bespoke guidance, and sustainability lie at the heart of this transformative project.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 3029-3033

Plant Recognition Using CNN and Gardening Support System Using IoT

Related Articles

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