Validation of an IoT System Using UHF RFID Technology for Goose Growth Monitoring DOI Creative Commons
Barbora Černilová, Miloslav Linda, Jiří Kuře

et al.

Agriculture, Journal Year: 2023, Volume and Issue: 14(1), P. 76 - 76

Published: Dec. 30, 2023

Regular weight measurement is important in fattening geese to assess their health status. Failure gain may indicate a potential illness. Standard analysis involves direct contact with the animal, which can cause stress resulting overall negative impacts on animal welfare. The focus of this study was design smart solution for monitoring changes breeding farm animals. proposed IoT system weighing device equipped RFID technology registration aimed minimize aspects associated measuring humans. aims incorporate modern approaches husbandry and use these obtained data development different breeds animals enhanced managerial decision-making within husbandry. consisted three main components: acquisition system, RFID, an environmental system. In study, accuracy detecting environment assessed. entire evaluation yielded sensitivity 95.13%, specificity 99.89%, 99.78%, precision 95.01%. Regression revealed good correlation between observed feeding registrations determination coefficient R2 = 0.9813.

Language: Английский

IoT-based agriculture management techniques for sustainable farming: A comprehensive review DOI
Hammad Shahab, Muhammad Iqbal,

Ahmed Sohaib

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 220, P. 108851 - 108851

Published: March 26, 2024

Language: Английский

Citations

32
An innovative segment anything model for precision poultry monitoring DOI
Xiao Yang, Haixing Dai, Zihao Wu

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 222, P. 109045 - 109045

Published: May 17, 2024

Language: Английский

Citations

13
A detection method for dead caged hens based on improved YOLOv7 DOI
Jikang Yang, Tiemin Zhang, Cheng Fang

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 226, P. 109388 - 109388

Published: Aug. 31, 2024

Language: Английский

Citations

8
Predição de temperatura ambiente por meio de rede neural artificial aplicada à sistemas de aeração de grãos DOI Open Access
Oséas Machado Gomes, Manuel Osório Binelo, Márcia de F. B. Binelo

et al.

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Um sistema de aeração eficaz é um fator determinante para armazenamento grãos seguro e duradouro. Neste trabalho, buscou-se realizar a predição da temperatura ambiente modo melhorar eficiência sistemas aeração. Com base em dados reais temperatura, foi utilizado modelo rede feedforward multicamadas recorrente LSTM predizer ambiente, considerando predições sucessivas até duas horas. Considerando as arquiteturas redes testadas, o obteve melhor desempenho, apresentando erro médio 0,94 °C, sendo que se adequa compor preditivo auxilie na tomada decisão quanto ao uso armazenados.

Citations

0
Structural design, modeling and simulation analysis of a cage broiler inspection robot DOI Creative Commons

Yongmin Guo,

Xinwei Yu,

Wanchao Zhang

et al.

Journal of Agricultural Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

When designing an inspection robot for cage-reared broiler chickens, it is imperative to meticulously contemplate both the performance of within designated workspace and its energy efficiency. The paper optimizes structure consumption by analyzing working environment power usage associated with lifting lowering functions. Inspection robots designed chickens are required operate densely populated chicken coops, underscoring critical importance maneuverability these machines. This research utilizes a four-wheel skid-steering drive mechanism facilitate swift precise turns, empowering adeptly navigate confined spaces coops. mathematical description based on static kinematic model ensure efficient navigation enclosed environment. mechanical framework comprises system crafted from hollow rectangular low-carbon steel bars. design provides necessary strength durability while maintaining lightweight profile. Additionally, incorporation five-axis arm, integrated sensors gimbal algorithm, ensures adaptability intricate spaces, focus Simulation analysis developed demonstrates suitability this application ensuring stable operation Furthermore, in effort boost efficiency robot, linked functions undertaken. By integrating energy-efficient principles intelligent control strategies, can reduce consumption. completion tasks, prolongs battery life, ultimately enhances work sustainability robot.

Language: Английский

Citations

0
Egg production monitoring in commercial laying cages via the StrongSort-EGG tracking-by-detection model DOI
Rui Wu, Pengguang He,

Yefan He

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 227, P. 109508 - 109508

Published: Oct. 1, 2024

Language: Английский

Citations

1
Automatic Perception of Typical Abnormal Situations in Cage-Reared Ducks Using Computer Vision DOI Creative Commons

Shida Zhao,

Zongchun Bai, Lianfei Huo

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(15), P. 2192 - 2192

Published: July 27, 2024

Overturning and death are common abnormalities in cage-reared ducks. To achieve timely accurate detection, this study focused on 10-day-old ducks, which prone to these conditions, established prior data such situations. Using the original YOLOv8 as base network, multiple GAM attention mechanisms were embedded into feature fusion part (neck) enhance network's focus abnormal regions images of Additionally, Wise-IoU loss function replaced CIoU by employing a dynamic non-monotonic focusing mechanism balance samples mitigate excessive penalties from geometric parameters model. The image brightness was adjusted factors 0.85 1.25, mainstream object-detection algorithms adopted test compare generalization performance proposed method. Based six key points around head, beak, chest, tail, left foot, right foot body structure ducks refined. Accurate estimation overturning dead postures achieved using HRNet-48. results demonstrated that method accurately recognized states, achieving mean Average Precision (mAP) value 0.924, 1.65% higher than YOLOv8. effectively addressed recognition interference caused lighting differences, exhibited an excellent ability comprehensive detection performance. Furthermore, duck pose-estimation model Object Key point Similarity (OKS) 0.921, with single-frame processing time 0.528 s, detecting bodies generating correct posture expressions.

Language: Английский

Citations

1
Machine Learning and Wavelet Transform: A Hybrid Approach to Predicting Ammonia Levels in Poultry Farms DOI Creative Commons
Erdem Küçüktopçu, Bilal Cemek, Halis Şimşek

et al.

Animals, Journal Year: 2024, Volume and Issue: 14(20), P. 2951 - 2951

Published: Oct. 14, 2024

Ammonia (NH

Language: Английский

Citations

1
Validation of an IoT System Using UHF RFID Technology for Goose Growth Monitoring DOI Open Access
Barbora Černilová, Miloslav Linda, Jiří Kuře

et al.

Published: Dec. 11, 2023

Regular weight measurement is important in fattening geese to assess their health status. Failure gain may indicate a potential illness. Standard analysis involves direct contact with the animal, which can cause stress resulting overall negative impacts on animal welfare. The focus of this study was design smart solution for monitoring changes breeding farm animals. proposed IoT system weighing device equipped RFID technology registration aimed minimise aspects associated measuring humans. designed aims incorporate modern approaches husbandry and utilise acquired data development various breeds. consisted three main components: acquisition system, RFID, an environmental system. In study, accuracy detecting environment assessed. entire evaluation yielded sensitivity 93.87%, specificity 99.94%, 99.85%, precision 95.09%. Regression revealed good correlation between observed feeding registrations determination coefficient R2 = 0.9813.

Language: Английский

Citations

3
Validation of an IoT System Using UHF RFID Technology for Goose Growth Monitoring DOI Creative Commons
Barbora Černilová, Miloslav Linda, Jiří Kuře

et al.

Agriculture, Journal Year: 2023, Volume and Issue: 14(1), P. 76 - 76

Published: Dec. 30, 2023

Regular weight measurement is important in fattening geese to assess their health status. Failure gain may indicate a potential illness. Standard analysis involves direct contact with the animal, which can cause stress resulting overall negative impacts on animal welfare. The focus of this study was design smart solution for monitoring changes breeding farm animals. proposed IoT system weighing device equipped RFID technology registration aimed minimize aspects associated measuring humans. aims incorporate modern approaches husbandry and use these obtained data development different breeds animals enhanced managerial decision-making within husbandry. consisted three main components: acquisition system, RFID, an environmental system. In study, accuracy detecting environment assessed. entire evaluation yielded sensitivity 95.13%, specificity 99.89%, 99.78%, precision 95.01%. Regression revealed good correlation between observed feeding registrations determination coefficient R2 = 0.9813.

Language: Английский

Citations

0