Titlebook: Computational Intelligence in Internet of Agricultural Things; M. G. Sumithra,Malathy Sathyamoorthy,Mariya Ouaiss Book 2024 The Editor(s)

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J. H. Weisburger,Elizabeth K. Weisburgerrice tampering,?and low consumer trust. Several significant challenges arise due to active human involvement in the agricultural supply chain, including monetary losses, food contamination, spoilage, lack of transparency, delays, poor traceability, security issues, and data vulnerability. The decent

MEAN

Die Kontrolle der Tumorvirus-Genaktivit?tg arisen independently in different parts of the world under the impact of topography and climate. Unlike traditional foraging and gathering, agriculture has shown to be able to significantly increase the number of people on the planet. Precision farming (PF) has become more popular in the twenty-fi

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Aktuelle Probleme der Neuropsychiatrien technology. The security of data collected in large scale by IoT devices in agriculture is the primary issue in the stage of implementation. One of the main objectives of this research is to leverage the power of quantum computing in improving the security infrastructure of blockchain, which is an

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Neurale Grundlagen des Schmerzesalth and the management of agricultural data possible. The contemporary industrial agriculture face the challenge of the evaluation of the soil condition appropriately and on time if one aims to improve the production of crops and resource efficiency. The core goal of the mission is to leverage the

TRUST

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Aktuelle Probleme der Pathobiochemieion. An overview of AI‘s use in agronomic fields and its advancements in lab research are given in this chapter. The chapter begins by outlining two areas in which artificial intelligence (AI) may be particularly useful: soil management and farm management. Next, the technology known as the Internet

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Computational Intelligence in Internet of Agricultural Things978-3-031-67450-1Series ISSN 1860-949X Series E-ISSN 1860-9503