News Updates Sunday 19th May 2024 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission is open. Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Design and development of soil-less plant health monitoring system using deep learning


Author : Rajlaxmi Salunkhe and Prof. Dr. Rajeswari Kannan

Pages : 190-194
Download PDF
Abstract

Increasing population of the planet leads to concern about meeting the need for food for every living entity on the planet for the future, and there should be some smart ways in which people can produce their own food.The intelligent and stable hydroponic farming system is a new method of soilfree farming and will help users track their hydroponic farm / garden plant health remotely without relying on time and location.The smart and stable Hydroponic farming device is a new way of soil-free farming and it will help users track their hydroponic farm / garden remotely without relying on time and location, which will provide maximum food production in a limited space with good food quality irrespective of the use of large quantities of pesticides for plants.The current challenges with traditional farming include poor water levels of land in many regions of the country, poor seed quality, increased use of fertilizers and biocides, and many more. The hydroponic farming method would ensure the health of consumers such as humans and animals with nutrient-rich benefits and costeffective compared with traditional farming.The cultivation of food without compromising all factors. The system will help individuals to grow plants without compromising ongoing work, time and space, and they can monitor them from anywhere.

Keywords: Deep learning,Nutrients,Monitoring system,soilless Farming,statistical measures

Call for Papers
  1. IJCET- May/June 2024 Issue

    Submission Last Date
    30 June 2024
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-June-2024
  5. IJAIE-June-2024
  6. IJCSB-June-2024
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved