Abstract
As technological advancements have been introduced and utilized, there is a need to make strides in agriculture. The fundamental problem in agriculture is increasing farming efficiency and quality without regular physical monitoring to meet the rapidly expanding demand for food. This paper assesses and reviews the role of IoT in field crop monitoring to improve productivity and efficiency in agriculture. With the emergence of new advanced technologies, it has become possible to implement precision agriculture through IoT. It is vital to screen the ecological conditions in and around the field to accomplish a crop monitoring framework. As the climate changes over time, there is a need for crop growth to be also monitored and understood. Some of the parameters that must be examined to improve the yield include soil quality, atmosphere conditions, moisture, temperature, and humidity.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1565-1572 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781665497107 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 1st International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022 - Salem, India Duration: May 9 2022 → May 11 2022 |
Publication series
| Name | Proceedings - International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022 |
|---|
Conference
| Conference | 1st International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022 |
|---|---|
| Country/Territory | India |
| City | Salem |
| Period | 5/9/22 → 5/11/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Decision Sciences (miscellaneous)
- Information Systems and Management
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