Smart Agriculture: Enhancing Crop Management through IoT-Based Real-Time Monitoring and Automation
Internet of Things plays an important role in agriculture in order to provide an innovative and smart solution to traditional farming. IOT is all about connecting physical devices to the internet and can access from a remote place. So that crop monitoring becomes easy even if the farmer is in a remote place. Due to automation, human efforts are required less. Also the IoT data helps the farmer make decisions about planting, harvesting or fertilizing. This paper explains the system we have implemented for monitoring the agriculture with the help of IoT. The system is developed in order to provide real time information on crop conditions to the farmer. For that, it uses various types of sensors connected to the microcontroller in order to measure parameters like temperature, soil moisture, and water level, and accordingly, it activates actuators like a fan, motor or pump to manage ventilation and irrigation. We have used the GSM module to send the alert to the farmer and the WiFi module is used to send the agriculture data to the cloud platform. So that farmer can monitor the farm or crops remotely. The system is continuously collecting farm data from the sensors. If the crop soil is very dry them system will turn on the water pump. Also, for high temperature, the fan will get activated in order to cool down that area. This feature is mostly used in indoor farming. The farmer can monitor the farm condition in real time with the help of cloud platform. This system is helpful for improving productivity, crop management, and save resources i.e. efficient use of water which prevents water wastage.
Authors
- Ravindra Raman Cholla (ORCID: https://orcid.org/0000-0003-3311-2407)
- Rajermani Thinakaran (ORCID: https://orcid.org/0000-0002-9525-8471)
- Vikram Neerugatti (ORCID: https://orcid.org/0000-0002-2203-7002)
- Madhusudana Rao Nalluri (ORCID: https://orcid.org/0000-0002-5315-1932)
- Hushalictmy Paliyanny
- Somasekar Jalari
Institutions
- Jain University (IN)
- INTI International University (MY)
- ICFAI Foundation for Higher Education (IN)
Publication Details
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1109/icitda64560.2024.10809990
- Citations
- 2
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.20