βœ‰οΈ editor@imrjr.com
International Multidisciplinary Research Journal Reviews (IMRJR)
International Multidisciplinary Research Journal Reviews (IMRJR) A monthly Peer-reviewed journal
e-ISSN 3108-026X
← Back to VOLUME 3, ISSUE 3, MARCH 2026

Green IoT Frameworks for Energy-Efficient and Sustainable Agriculture

Dr. Santosh Kumar Singh, Dr. Sajan M. George, Dr. Vikas Rao Vadi, Dr. Shalu Tandon, Dr. Asjad Usmani, Dr. P. K. Nayak, Dr. Sanjay Kumar Singh

πŸ‘ 3 viewsπŸ“₯ 1 download
Share: 𝕏 f in ✈ βœ‰
Abstract: The IoT has significantly expanded agriculture and transformed traditional farming methods with the advent of automation, accuracy, and simultaneous 24-hour care. However, the extensive usage of Internet of Things devices leads to improved energy absorption and, in turn, carbon emissions. By letting down power usage while taking resourceful action, green IoT seeks to solve this problem. This research work presents a Green IoT framework for maintainable cultivation that uses soil moisture monitoring and smart irrigation simulation in Tinkercad. The device continuously measures soil moisture and only activates the water supply when necessary to save electricity and water. The proposed method shows how applying Green IoT principles could enhance precision farming and promote the expansion of sustainable agriculture. The simulation findings validate the model's efficacy in conserving resources and promoting ecologically friendly farming practices.

Keywords: Green IoT, Smart Agriculture, Energy Efficiency, Soil Moisture Sensor, Sustainable Farming, Tinkercad Simulation.

How to Cite:

[1] Dr. Santosh Kumar Singh, Dr. Sajan M. George, Dr. Vikas Rao Vadi, Dr. Shalu Tandon, Dr. Asjad Usmani, Dr. P. K. Nayak, Dr. Sanjay Kumar Singh, β€œGreen IoT Frameworks for Energy-Efficient and Sustainable Agriculture,” International Multidisciplinary Research Journal Reviews (IMRJR) (IMRJR), DOI: 10.17148/IMRJR.2026.030301

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.
Google Scholar
Highest Citations
98+
h-index 3  |  i10-index 1
Peer-reviewed
Author Center
IMRJR Standards
πŸ†
Article of the Year
Award
The Future of Automotive Manufacturing: Integrating AI, ML, and Generative AI for Next-Gen Automatic Cars

Chandrakanth Rao Madhavaram, Janardhana Rao Sunkara, Chandrababu Kuraku, Eswar Prasad Galla, Hemanth Kumar Gollangi

Read Article β†’
πŸ“₯Most Downloaded
  1. 1.
  2. 2.
  3. 3.
    doi logo
    πŸ“₯ 5 downloads
  4. 4.
  5. 5.
Conference
Conference
International Conference Call for papers