Problem Statement
Traditional farming methods often lead to inefficiencies in crop management,
resource use, and yield optimization. Farmers face challenges in monitoring and
responding to the dynamic conditions of their fields.
Abstract
The Precision Agriculture project aims to revolutionize farming practices by
integrating IoT-enabled sensors, drones, and data analytics. These technologies
will provide real-time insights into soil conditions, crop health, and weather
patterns, enabling farmers to optimize crop management, reduce resource use,
and increase yields.
Outcome
Improved crop yields through precise monitoring and management. Efficient use of resources, including water and fertilizers, leading to environmental sustainability. Enhanced decision-making for farmers through data-driven insights.
Reference
Precision agriculture is a type of innovative agriculture, based on new technologies, which aims to streamline the agricultural process. The aim of this paper consists in reducing the consumption of resources and reaching the maximum potential of the harvest, providing a smart greenhouse which automatically improves the quality of the culture. Environmental parameters will be measured through several sensors and depending on the data set, the system will decide and control the appropriate climate conditions for each crop. The data will be transmitted through the Message Queuing Telemetry Transport (MQTT) protocol to an android application which allows the user to view and set the environmental conditions.
- Anand Nayyar and Vikram Puri, “Smart farming: IoT based smart sensors agriculture stick for live temperature and moisture monitoring using Arduino cloud computing & solar technology,” Proc. of The International Conference on Communication and Computing Systems (ICCCS-2016), pp. 9781315364094-121, 2016.
- Neel Pradip Shah and Priyang Bhatt, “Greenhouse automation and monitoring system design and implementation,” International Journal of Advanced Research in Computer Science, vol. 8, no. 9, 2017.
- S. Sofana Reka, Bharathi Kannamma Chezian, and Sanjana Sangamitra Chandra, “A novel approach of IoT-based smart greenhouse farming system” in Green Buildings and Sustainable Engineering, Singapore: Springer, pp. 227-235, 2019.
- Victor Suciu, Cristina Mihaela Balaceanu, Muneeb Anwar, Adrian Pasat, Hussain Ijaz, Marius Dobrea, et al., “Analysis of Agriculture Sensors Based on IoT,” 2018 International Conference on Communications (COMM), pp. 423-427, 2018.
https://ieeexplore.ieee.org/document/9141981