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Internet of Things for Monitoring and Detection of Agricultural Production

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Intelligent Systems in Big Data, Semantic Web and Machine Learning

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1344))

Abstract

The creation of information based advancements, otherwise called savvy culture, recognizes and bolsters the decrease of money related, regular and cultural issues. As the total populace develops exponentially, it is fundamental to audit current cultivating practices to satisfy the needs of nourishment security. Insightful sensor frameworks give more data on water needs and harvests. This data can be utilized to computerize the water supply framework and get ready ranchers to advance their water system arrange. The data procured in the initial step is moved to the cloud. Unclassified Exceptional Readiness for Distributed Power Generation, which is a significant data measure that the producer of a cell phone application can utilize. This paper presents and assesses the idea of remote detecting gadget.

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Author information

Authors and Affiliations

  1. Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterials, Water and Environment, CERNE2D, Faculty of Science, Mohammed V University in Rabat, AV Ibn Battouta, BP 1014, Agdal, Rabat, Morocco

    Jamal Mabrouki, Maria Benbouzid & Souad El Hajjaji

  2. International Water Research Institute IWRI, University Mohammed VI Polytechnic (UM6P), Benguerir, Morocco

    Driss Dhiba

Authors
  1. Jamal Mabrouki
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  2. Maria Benbouzid
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  3. Driss Dhiba
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  4. Souad El Hajjaji
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Corresponding author

Correspondence to Jamal Mabrouki .

Editor information

Editors and Affiliations

  1. ENSA, Sultan Moulay Slimane University, Khouribga, Morocco

    Noreddine Gherabi

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Mabrouki, J., Benbouzid, M., Dhiba, D., El Hajjaji, S. (2021). Internet of Things for Monitoring and Detection of Agricultural Production. In: Gherabi, N., Kacprzyk, J. (eds) Intelligent Systems in Big Data, Semantic Web and Machine Learning. Advances in Intelligent Systems and Computing, vol 1344. Springer, Cham. https://doi.org/10.1007/978-3-030-72588-4_19

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