Monitoring of Rice Growth Environment Based on Internet of Things Technology

Rice is an important grain crop in China, and its yield is greatly affected by the growth environment and pest infestations. This article develops a new type of rice growth environment monitoring system based on Niagara IoT technology, including environmental monitoring of seedling greenhouses and rice fields, as well as image recognition of pest infestations. By deploying Zigbee sensor nodes in greenhouses and rice fields, real-time environmental data is collected, while intelligent inspection drones are used for image acquisition, and YOLOV8 image recognition technology is used for disease and pest detection. The data is transmitted to the control center through the network for analysis and processing, in order to make timely decisions, optimize the growth conditions of rice, improve yield and quality, save resources, reduce environmental impact, and promote the standardization and digitization process of farm management and planting.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/eit63098.2024.10762727
Citations
1
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.33

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article

Monitoring of Rice Growth Environment Based on Internet of Things Technology

Shiyin Shen, Hao Liu, Enze Li, Hannah Wang
1 citations
Wireless Sensor Networks and IoT
0.33
article

Monitoring of Rice Growth Environment Based on Internet of Things Technology

Shiyin Shen, Hao Liu, Enze Li, Hannah Wang
article en
1 citations

Abstract

Rice is an important grain crop in China, and its yield is greatly affected by the growth environment and pest infestations. This article develops a new type of rice growth environment monitoring system based on Niagara IoT technology, including environmental monitoring of seedling greenhouses and rice fields, as well as image recognition of pest infestations. By deploying Zigbee sensor nodes in greenhouses and rice fields, real-time environmental data is collected, while intelligent inspection drones are used for image acquisition, and YOLOV8 image recognition technology is used for disease and pest detection. The data is transmitted to the control center through the network for analysis and processing, in order to make timely decisions, optimize the growth conditions of rice, improve yield and quality, save resources, reduce environmental impact, and promote the standardization and digitization process of farm management and planting.

Tianjin University of Technology (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 37%
Wireless Sensor Networks and IoT
0.33
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Monitoring of Rice Growth Environment Based on Internet of Things Technology — Shiyin Shen, Hao Liu, et al. · (2024) | TGRS Research Map | TGRS