Integrated Environment Monitoring and Data Management in Agriculture

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Encyclopedia of Digital Agricultural Technologies
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Synonyms

Agricultural data management; Agricultural environment monitoring

Definition

Environmental monitoring

Environmental monitoring is the fundamental link in the process of realizing precision agriculture. Its main task is to accurately monitor and control the environmental parameters affecting crop growth, such as temperature and humidity, light, soil pH, pests and diseases, and gas content in large-scale agricultural production and planting, to provide an ideal growing environment for the crops.

Level 1 Introduction

Basic Concept

Integrated Environment Monitoring and Data Management in Agriculture uses a variety of high-tech means such as intelligent sensing technology, communication technology, computer technology, and network technology in modern information technologies. The main task of this technology is to collect, transmit, and store the production-related factors data such as weather, pests and diseases, soil conditions, and agricultural products in the process of...

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References

  • Block RJ, Durrum EL, Zweig G (2016) A manual of paper chromatography and paper electrophoresis. Elsevier, Amsterdam

    Google Scholar 

  • Chen X, Xu P, Xu XL (2015) Development of embedded industrial control system based on blue tooth communication technology. Instrum Technol Sensor 1(1):74–76

    CAS  Google Scholar 

  • Dong T (2019) Study on rapid detection of soil pesticide residues based on surface enhanced Raman spectroscopy. Dissertation, Zhejiang University

    Google Scholar 

  • Donohue RJ, Lawes RA, Mata G et al (2018) Towards a national, remote-sensing-based model for predicting field-scale crop yield. Field Crop Res 227:79–90

    Article  Google Scholar 

  • Dutta S (2019) Point of care sensing and biosensing using ambient light sensor of smartphone: critical review. RAC-Trend Anal Chem 110:393–400

    Article  CAS  Google Scholar 

  • Friha O, Ferrag MA, Shu L et al (2021) Internet of Things for the future of smart agriculture: a comprehensive survey of emerging technologies. IEEE CAA J Autom Sinica 8(4):718–752

    Article  Google Scholar 

  • Hassan SI, Alam MM, Illahi U et al (2021) A systematic review on monitoring and advanced control strategies in smart agriculture. IEEE Access 9:32517–32548

    Article  Google Scholar 

  • Hou XL, Yao XF (2020) Research on application of photoelectric sensors in Internet of Things system. Sci Technol Innov Her 5:125–126

    Google Scholar 

  • Muangprathub J, Boonnam N, Kajornkasirat S, et al (2019) IoT and agriculture data analysis for smart farm. Computers and electronics in agriculture 156:467–474

    Google Scholar 

  • Odema M, Adly I, Wahba A et al (2017) Smart aquaponics system for industrial Internet of Things (IIoT). In: International conference on advanced intelligent systems and informatics 2017, pp 844–854

    Google Scholar 

  • Ojha T, Misra S, Raghuwanshi NS (2015) Wireless sensor networks for agriculture: the state-of-the-art in practice and future challenges. Comput Electron Agric 118:66–84

    Article  Google Scholar 

  • Talavera JM, Tobón LE, Gómez JA et al (2017) Review of IoT applications in agro-industrial and environmental fields. Comput Electron Agric 142:283–297

    Article  Google Scholar 

  • Yang X, Shu L, Chen J et al (2021) A survey on smart agriculture: development modes, technologies, and security and privacy challenges. IEEE/CAA J Autom Sinica 8(2):273–302

    Article  CAS  Google Scholar 

  • Zhang S, Chen X, Wang S (2014) Research on the monitoring system of wheat diseases, pests and weeds based on IOT. In: 2014 9th International conference on computer science & education, pp 981–985

    Google Scholar 

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Correspondence to Qingyuan Zhu .

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Zhu, Q. (2023). Integrated Environment Monitoring and Data Management in Agriculture. In: Zhang, Q. (eds) Encyclopedia of Digital Agricultural Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-24861-0_253

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