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ICDSMLA 2019 pp 1175-1183 | Cite as

Plant Sustainability Monitoring Using Unmanned Aerial Vehicle

  • Raghavendra Vedula
  • Amitash Nanda
  • Keshab Kishor Swain
  • Siddharth Das
  • Mihir Narayan MohantyEmail author
Conference paper
  • 24 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 601)

Abstract

Environmental pollution has become the booming issue for this generation. The decrease in oxygen levels, due to the degradation of plant health, has become the pivot to this problem. We need sustainable development for healing this situation. Sustainability of plants can be enhanced by monitoring the plant health, monitoring the external factors that affect the environment surrounding the plantation, and regularly checking plant. Therefore, health monitoring plays a vital role in enhancing the sustainability of a plant. Looking at this alarming situation, we have thought of an idea, to design and develop a plant sustainability enhancement system, wherein an automated and non-contact system for plants to monitor their growth and health condition will be developed. This proposed system will work in any remote area using wireless technology, the Internet of Things and Artificial Intelligence. The aim of the system is to reduce human efforts and responsibilities for taking care of the plant, as well as to reduce the number of untimely death of the young planted saplings. The given implementation has a drone controlled through a remote server, a cloud database, an android based device along with some electronic circuitry for tracking, locating and monitoring the health of the planted saplings which will help the people as well as the concerned department (forest department) to monitor the existing/newly planted saplings. The system uses basic growth parameters of the plant like leaf color, temperature, the moisture level of soil, humidity and concentration of Carbon Dioxide for continuous health and growth monitoring.

Keywords

Unmanned aerial vehicle Remote sensing Plant health monitoring Sensor MQTT 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Raghavendra Vedula
    • 1
  • Amitash Nanda
    • 1
  • Keshab Kishor Swain
    • 1
  • Siddharth Das
    • 1
  • Mihir Narayan Mohanty
    • 2
    Email author
  1. 1.College of Engineering and TechnologyBhubaneswarIndia
  2. 2.Department of ECE, ITERSOA, Deemed to be UniversityBhubaneswarIndia

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