PigNet

Bonde, Amelie; Codling, Jesse R; Naruethep, Kanittha; Dong, Yang; Siripaktanakon, Wachirawich; Ariyadech, Sripong; Sangpetch, Akkarit; Sangpetch, Orathai; Pan, Shijia; Noh, Hae Young; Zhang, Pei

doi:10.1145/3412382.3458902

Cited by 10 publications

(9 citation statements)

References 43 publications

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“…Dividing the piglets' weight into discrete growth stages, we apply K-nearest neighbors clustering to estimate the piglets' state. This layer achieved 81.8% growth stage estimation accuracy in its final form [5].…”

Section: System Reliability At Betagro and Usmarcmentioning

confidence: 99%

“…Figure 2 shows the components of this system, with hardware to the left and software components to the right. The data collection hardware uses geophone sensors [24], which have been proven reliable in the farm environment [2,5]. Measurements from these sensors are aggregated in the barn then uploaded off-site for further computation.…”

Section: Masshog System Overviewmentioning

confidence: 99%

“…Our system evaluation is split between real farm environments and our controlled test bed. A PigNet [5] deployment using the more reliable sensor hardware developed for MassHog shows the system longevity improvements and the efficacy of the passive growth estimation for piglets (the upper branch of Figure 2). The actuated mass measurement (lower branch of Figure 2) is yet to be deployed in a working farm, so we present preliminary evaluations from a controlled test environment.…”

Section: Real-world and Lab Evaluationsmentioning

confidence: 99%

“…We have deployed our sensing nodes at two operating pig farms, shown in Figure 5. The first deployments from Thailand were reported on with PigNet [5]. More recently, we deployed at the USDA's Meat Animal Research Center (USMARC) in Clay Center, Nebraska, where we have access to much more ground truth data to evaluate the performance of PigNet and MassHog.…”

Section: System Reliability At Betagro and Usmarcmentioning

confidence: 99%

“…Weighing adult hogs alongside piglets is much more challenging than weighing piglets alone. Previous work enables growth tracking for the piglets using activity-induced vibrations [5], which are advantageous for both scalability and deployability. However, adult hog vibrations do not correlate with their weight the way the piglets' do.…”

Section: Introductionmentioning

confidence: 99%

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MassHog: Weight-Sensitive Occupant Monitoring for Pig Pens using Actuated Structural Vibrations

Codling

Bonde

Dong

et al. 2021

Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of The

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In the swine livestock industry, weight tracking is commonly used to track health and growth of pigs. This is especially crucial during the farrowing period, where mother sows and their newborn piglets are housed together to facilitate nursing. Existing weight measurement methods, however, either provide only sporadic snapshots or have scalability and reliability issues in the harsh environment of industrial farms. This paper presents MassHog, a multi-layered system for ubiquitous weight measurement in harsh environments, such as pig pens, using structural vibrations. MassHog combines an existing sensor concept with actuated vibrations to weigh both piglets and adult hogs together. We evaluate the components of this system through testing deployments, including at real-world operating pig farms. Preliminary results show less than 2 kg mean absolute error for adult hogs. CCS CONCEPTS• Applied computing → Agriculture; • Computer systems organization → Sensor networks.

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Section: System Reliability At Betagro and Usmarcmentioning

confidence: 99%

Section: Masshog System Overviewmentioning

confidence: 99%

Section: Real-world and Lab Evaluationsmentioning

confidence: 99%

Section: System Reliability At Betagro and Usmarcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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