CROP ANIMAL MONITORING AND PRODUCTION SYSTEM

AUTHOR(S)

Clement Roshan A, Kishore S, Prakash k, Dr K Senthil kumar

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.76

ABSTRACT
The placement of grazing animals in vineyards requires additional support to the animal husbandry activities. Such support must include the monitoring and the conditioning of animal’s location and behavior, especially their feeding posture. With such a system, it is possible to allow sheep to graze in cultivated areas (e.g., vineyards, orchards) without endangering them. This paper an animal behavior monitoring platform, based on IoT technologies. It includes an IoT local network together data from animals and a cloud platform, with processing and storage capabilities, to autonomously shepherd ovine within vineyard areas. The cloud platform also incorporates machine learning features, allowing the extraction relevant information from the data gathered by the IoT network. Thus, besides the platform description, some results are presented regarding the machine learning platform. Namely, this platform wase valuated for detecting and defining conditioners pectin animal’ postgrowth preliminary promising results. Since several algorithms were tested, this paper includes a comparison of those algorithms.

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How to Cite This Article:
Clement Roshan A, Kishore S, Prakash k, Dr K Senthil kumar .CROP ANIMAL MONITORING AND PRODUCTION SYSTEM . ijetms;7(3):536-541. DOI: 10.46647/ijetms.2023.v07i03.76