Goat Kidding Dataset

Pedro Gonçalves, Maria R. Marques, Ana T. Belo, António Monteiro and Fernando Braz
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Pedro Gonçalves: Instituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, 3830-193 Aveiro, Portugal
Maria R. Marques: Instituto Nacional de Investigação Agrária e Veterinária I.P. (INIAV), Quinta de Fonte-Boa, 2005-048 Vale de Santarém, Portugal
Ana T. Belo: Instituto Nacional de Investigação Agrária e Veterinária I.P. (INIAV), Quinta de Fonte-Boa, 2005-048 Vale de Santarém, Portugal
António Monteiro: Instituto Politécnico de Viseu, CERNAS—Centro de Recursos Naturais, Ambiente e Sociedade, Escola Superior Agrária, Quinta da Alagoa-Estrada de Nelas, 3500-606 Viseu, Portugal
Fernando Braz: Instituto Federal Catarinense, Campus Araquari, Araquari 89245-000, Brazil

Data, 2022, vol. 7, issue 7, 1-9

Abstract: The detection of kidding in production animals is of the utmost importance, given the frequency of problems associated with the process, and the fact that timely human help can be a safeguard for the well-being of the mother and kid. The continuous human monitoring of the process is expensive, given the uncertainty of when it will occur, so the establishment of an autonomous mechanism that does so would allow calling the human responsible who could intervene at the opportune moment. The present dataset consists of data from the sensorization of 16 pregnant and two non-pregnant Charnequeira goats, during a period of four weeks, the kidding period. The data include measurements from neck to floor height, measured by ultrasound and accelerometry data measured by an accelerometer existing at the monitoring collar. Data was continuously sampled throughout the experiment every 10 s. The goats were monitored both in the goat shelter (day and night) and during the grazing period in the pasture. The births of the animals were also registered, both in terms of the time at which they took place, but also with details regarding how they took place and the number of offspring, and notes were also added.

Keywords: goat kidding; posture monitoring; inertial sensors (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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