Greenhouse Agriculture Using IoT
Greenhouse agriculture is the key technology for addressing the ever-changing weather patterns that hinder traditional farming methods. So, greenhouses enable controlled conditions in terms of environmental factors, which makes them perfect habitats for controlled crop growth. They might also then allow year-round production, which incorporates the crop and fruits suitable for various temperature requirements. Conversely, an empirical increase in the market value of produce unavailable over the off-season would enhance the economy. These technologies use the Internet such as those with the Internet of Things (IoT) sensors, which have greatly facilitated smart greenhouses. They work by putting many sensors in and out of the greenhouse to collect various parameters such as temperature, humidity, moisture in the soil, and light intensity on a continuous basis. The data collected is then stored in a cloud set up in the essential spot for ease of access, so that with time that the farmer has actionable insights for themselves. On the other hand, the edge-computing devices that help the cloud bring new energy to store; that would accelerate data processing while reducing signal interference within the operation of cloud computing. Storing and processing all data concerning the greenhouse thus means data consolidation for easier interpretation, thereby managing the greenhouse data. Subsequently, the operation becomes more efficient through better use of resources, thus costs incurred are fundamentally reduced, though energy consumption might also be up on the low side as an ideal scenario. Continuous data-intensive research will provide improved accuracy on the regulation of such greenhouse environments, which results in improved management. Adaptation to a light input in evolving conditions and response to newly emerging challenges is exactly what a dynamic system should be doing, especially in the field of agriculture.
Authors
- C. Pavithra
- P Vasanthan
- S Swagath
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/iccct63501.2025.11020111
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00