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| DOI | 10.3389/frwa.2024.1353597 |
| Implementation of an in-field IoT system for precision irrigation management | |
| 发表日期 | 2024 |
| EISSN | 2624-9375 |
| 起始页码 | 6 |
| 卷号 | 6 |
| 英文摘要 | Due to the impact of climate change on agriculture and the emergence of water security issues, proper irrigation management has become increasingly important to overcome the challenges. The Internet of Things (IoT) technology is being utilized in agriculture for collecting field information and sharing it through websites in real time. This study discusses the efforts taken to develop an IoT-based sensor station, a user-friendly website, and a smartphone app for irrigation management. In addition, the demonstration of the IoT-based sensor station and its effectiveness are discussed. Before deploying the sensor station, soil moisture sensor calibration was conducted using a laboratory experiment. Overall, the calibrated soil moisture sensors met the statistical criteria for both sand [root mean squared error (RMSE) = 0.01 cm3/cm3, index of agreement (IA) = 0.97, and mean bias error (MBE) = 0.01] and loamy sand (RMSE = 0.023 cm3/cm3, IA = 0.98, and MBE = -0.02). This article focuses on case studies from corn, blueberry, and tomato fields in Michigan, USA. In the corn and blueberry fields, the evaluation of irrigation practices of farmer's using an IoT-based sensor technology was considered. In the tomato field, a demonstration of automation irrigation was conducted. Overirrigation was observed using the IoT-based sensor station in some fields that have sandy soil and use a drip irrigation system. In the blueberry demonstration field, the total yield per plant (p = 0.025) and 50-berry weights (p = 0.013) were found to be higher with the recommended irrigation management than the farmer's existing field. In the tomato demonstration field, there were no statistical differences in the number of marketable tomatoes (p = 0.382) and their weights (p = 0.756) between the farmer's existing method and the recommended irrigation strategy. However, 30% less water was applied to the recommended irrigation strategy plot. Thus, the result showed that the IoT-based sensor irrigation strategy can save up to 30% on irrigation while maintaining the same yields and quality of the product. |
| 英文关键词 | irrigation; Internet of Things (IoT); soil moisture sensors; smart agriculture; automation |
| 语种 | 英语 |
| WOS研究方向 | Water Resources |
| WOS类目 | Water Resources |
| WOS记录号 | WOS:001173673600001 |
| 来源期刊 | FRONTIERS IN WATER
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/304334 |
| 作者单位 | Michigan State University; Michigan State University; Michigan State University |
| 推荐引用方式 GB/T 7714 | . Implementation of an in-field IoT system for precision irrigation management[J],2024,6. |
| APA | (2024).Implementation of an in-field IoT system for precision irrigation management.FRONTIERS IN WATER,6. |
| MLA | "Implementation of an in-field IoT system for precision irrigation management".FRONTIERS IN WATER 6(2024). |
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