On design of sensor nodes in the rice planthopper monitoring system based on the internet of things

Wang, Ke Qiang; Cai, Ken

doi:10.1117/12.887423

Cited by 3 publications

(1 citation statement)

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“…According to the current literature, the major climate element could have great impact on the growing and development of crop, yield, quality, and pests [3,4]. Therefore, it is important to design a rice production monitoring system based on GPRS [5][6][7][8]. By dynamically monitoring of climate elements, agricultural producer can predict the quality of rice, improve its ability to counteract climatic disasters and provide conditions for the comprehensive prevention and control of pests [9,10].…”

Section: Introductionmentioning

confidence: 99%

The Design of a Monitoring System Based on GPRS for Rice Production Environment

Zhang

et al. 2013

AMM

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This paper introduced a monitoring system of rice production, which can monitor the ambient temperature, humidity, the temperature of rice water and soil and Terrace surface runoff water in the process of rice production. All the testing data are firstly aggregated to a cluster node, and then transmitted to network datacenter through the GSM, so that users can access the datacenter server for the data related to the production environment. The monitoring system has been installed in the experimental field at the village of Qingkou, Yuanyang County, Yunnan Province. It has been running normally for one year. The system can monitor the real-time meteorological factors affecting the growth of rice, which provides the supporting data for exerting comprehensive control of insect pests and studying in-depth the problems of water terraces and nutrient balance before increasing the yield of rice and improving the quality of rice.

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Section: Introductionmentioning

confidence: 99%

The Design of a Monitoring System Based on GPRS for Rice Production Environment

Zhang

et al. 2013

AMM

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The IoT-based weighing system for growth monitoring and evaluation of fattening process in beef cattle farm

Noinan

Wicha

Chaisricharoen

2022

2022 Joint International Conference on Digital Arts, Media and Technology With ECTI Northern Section Conference on Electrical,

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Knowledge Mapping Trends of Internet of Things (IoT) in Plant Disease and Insect Pest Study: A Visual Analysis

Zawawi¹,

Jusoh²,

Muhammad³

et al. 2023

JST

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The study and literature on the Internet of Things (IoT) and its applications in agriculture for smart farming are increasing worldwide. However, the knowledge mapping trends related to IoT applications in plant disease, pest management, and control are still unclear and rarely reported. The primary aim of the present study is to identify the current trends and explore hot topics of IoT in plant disease and insect pest research for future research direction. Peer review articles published from Web of Science (WoS) Core Collection (2010-2021) were identified using keywords, and extracted database was analysed scientifically via Microsoft Excel 2019, VOSviewer and R programming software. A total of 231 documents with 5321 cited references authored by 878 scholars showed that the knowledge on the studied area has been growing positively and rapidly for the past ten years. India and China are the most productive countries, comprising more than half (52%) of the total access database on the subject area in WoS. IoT application has been integrated with other knowledge domains, such as machine learning, deep learning, image processing, and artificial intelligence, to produce excellent crop and pest disease monitoring research. This study contributes to the current knowledge of the research topic and suggests possible hot topics for future direction.

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On design of sensor nodes in the rice planthopper monitoring system based on the internet of things

Cited by 3 publications

References 0 publications

The Design of a Monitoring System Based on GPRS for Rice Production Environment

The Design of a Monitoring System Based on GPRS for Rice Production Environment

The IoT-based weighing system for growth monitoring and evaluation of fattening process in beef cattle farm

Knowledge Mapping Trends of Internet of Things (IoT) in Plant Disease and Insect Pest Study: A Visual Analysis

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