EcoHarvest: Integrating IoT Technology for Sustainable Soil and Air Management in Agriculture
Green agriculture now relies on technology and there are numerous hurdles that have to be met, including soil erosion, global warming, and food availability. CA together with improvement of soil carbon and soil quality are of central importance to health of the soils and enhanced agricultural yields. Conservation tilted is the practice of leaving a portion of the soil residue after harvest, crop rotation is the practice of growing different crops in one area sequentially and nutrient managed is the practice of applying nutrients necessary for plant growth in correct quantities at the right time frequencies they’ re all beneficial to the soils as they reduce environmental degradations ,improves productivity of the soils. In this regards, IoT based solutions are seen as a promising solution for monitoring and managing soil and environment status. Through the application of the Capacitive Soil Moisture Sensor V1.2 and DHT11 Temperature and Humidity Sensor real time data can be obtained in regard to soil moisture, temperature and humidity. Information collected from these sensors is fed into cloud computing solutions which enhance optimal watering and gains Yield optimization and more appropriate decisions making. The ability of this system to acquire, log and sort the data acquired via the Arduino microcontroller and specialized libraries is seamlessly enhanced by the integration of the two. The analyzed data indicates reliable associations between the measured characteristics of soil moisture and environmental factors that can be helpful to design effective recommendations for improving the state of the soils and using water resources for sustainable agriculture.
Authors
- J. Refonaa
- S. L. Jany Shabu (ORCID: https://orcid.org/0000-0002-8603-4257)
- M. Maheswari
- D. Aishwarya
- K T Tarun (ORCID: https://orcid.org/0009-0007-0067-3431)
- S M Kesav
Institutions
- Sathyabama Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1109/ictmim65579.2025.10987981
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00