Automatic animal identification from drone camera based on point pattern analysis of herd behaviour

Petso, Tinao; Jamisola, Rodrigo S.; Mpoeleng, Dimane; Bennitt, Emily; Mmereki, Wazha

doi:10.1016/j.ecoinf.2021.101485

Cited by 14 publications

(8 citation statements)

References 17 publications

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“…A utilização do drone resultou em maior produtividade, incorporado ao menor manejo diário do rebanho na fazenda, possibilitou também, a redução do uso de horas de mão de obra, o que permitiu aos funcionários dedicarem-se a atividades de maior urgência ou nas que eles sejam indispensáveis (KHANAL et al, 2010). A partir de imagens de câmeras de drones de 15 m a 130 m, estudaram e investigaram a precisão da identificação de animais com base no comportamento do elefante africano, girafa, rinoceronte branco, gnus e zebra (PETSO et al, 2021). PURI e BONDI (2021), efetivou o monitoramento por drone com câmeras infravermelhas e sensor de calor, ajudando os guardas florestais a monitorar áreas protegidas à noite a uma altitude próxima a 122m.…”

Section: Resultsunclassified

Hérnia Inguino-Escrotal Congênita Em Cordeiro – Relato De Caso

Moreira,

Batista,

Souza

et al. 2024

Tecnologia E Produção Agropecuária

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Hérnia inguino-escrotal é uma patologia de origem congênita pouco relatada em cordeiros recém-nascidos. Objetivou-se escrever um caso de hérnia inguino-escrotal em cordeiro, macho, da raça Soinga. O animal, apresentou sinal clínico com tumefação na região escrotal bem característico de hérnia inguino-escrotal. O cordeiro veio a óbito dois dias após o nascimento e seu cadáver foi devidamente congelado e encaminhado para procedimento de necrópsia no Laboratório de Patologia Animal do Departamento de Ciências Animais da Universidade Federal Rural do Semiárido-UFERSA. Através do laudo anatomopatológico observou-se alterações macroscópicas na região como passagem do conteúdo abdominal através do canal inguinal, estendendo-se até a bolsa escrotal. O saco herniário continha em seu interior alças intestinais (jejuno, íleo, ceco e cólon). As alças intestinais apresentavam-se distendidas por gases, sem evidências de conteúdo em seu interior. Dessa forma, ficou confirmado o diagnóstico da causa morte por hérnia inguino-escrotal congênita.

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Section: Resultsunclassified

Hérnia Inguino-Escrotal Congênita Em Cordeiro – Relato De Caso

Moreira,

Batista,

Souza

et al. 2024

Tecnologia E Produção Agropecuária

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“…mAP is an indicator that was originally described by Pascal VOC, which has been widely used in human pose estimation [ 37 ]. mAP calculates the GT of OKS at each threshold and predicts the value of the class true positive ( TP ) or false positive ( FP ), where the thresholds are as follows: {0.50, 0.55, 0.60, 0.65, 0.70, 0.75, 0.80, 0,85, 0.90, 0.95}:

where P is precision and AP is the average of the best accuracy values for 101 thresholds.…”

Section: Methodsmentioning

confidence: 99%

MCP: Multi-Chicken Pose Estimation Based on Transfer Learning

Fang,

Wu,

Zheng

et al. 2024

Animals

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Poultry managers can better understand the state of poultry through poultry behavior analysis. As one of the key steps in behavior analysis, the accurate estimation of poultry posture is the focus of this research. This study mainly analyzes a top-down pose estimation method of multiple chickens. Therefore, we propose the “multi-chicken pose” (MCP), a pose estimation system for multiple chickens through deep learning. Firstly, we find the position of each chicken from the image via the chicken detector; then, an estimate of the pose of each chicken is made using a pose estimation network, which is based on transfer learning. On this basis, the pixel error (PE), root mean square error (RMSE), and image quantity distribution of key points are analyzed according to the improved chicken keypoint similarity (CKS). The experimental results show that the algorithm scores in different evaluation metrics are a mean average precision (mAP) of 0.652, a mean average recall (mAR) of 0.742, a percentage of correct keypoints (PCKs) of 0.789, and an RMSE of 17.30 pixels. To the best of our knowledge, this is the first time that transfer learning has been used for the pose estimation of multiple chickens as objects. The method can provide a new path for future poultry behavior analysis

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“…Similarly, YOLO is a potential method for UAV detection. In preventing illegal hunting of African animals, YOLO is efficiently used for UAV detection of African animals such as giraffes, white rhinos, and wildebeests, which has effectively protected the local species diversity [13,14].…”

Section: Introductionmentioning

confidence: 99%

A novel efficient wildlife detecting method with lightweight deployment on UAVs based on YOLOv7

Mou,

Zhu,

Liu

et al. 2024

IET Image Processing

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Efficient animal detection is essential for biodiversity protection. Unmanned aerial vehicles (UAVs) have been widely used because of their low costs and minimal environmental intrusion. However, using UAVs for practical animal detection poses two challenges: (a) the UAV's fly highly to avoid disturbing animals, resulting in small object detection problems; (b) the limited processing power of UAVs makes large state‐of‐the‐art (SOTA) methods (e.g., You Only Look Once V7, YOLOv7) difficult to deploy. This work proposes the WILD‐YOLO based on YOLOv7 to deal with the two problems. To detect small objects, WILD‐YOLO improves upon YOLOv7 by adding a small object detection head in the head part. To enable real‐time animal detection in field environments with UAVs, the lighten FasterNet and GhostNet have been used to significantly reduce the model size. Compared to YOLOv7, WILD‐YOLO significantly reduces the number of parameters, making it suitable for lightweight deployment on UAVs. Additionally, comparisons with other lightweight models such as YOLOv7‐tiny, YOLOv5‐s, YOLOv4‐s and MobilenetV2 on the datasets are conducted. The experimental results demonstrate that this proposed WILD‐YOLO method outperforms other approaches and has great potential for effective detection of wildlife in complex environments encountered by UAVs.

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Automatic animal identification from drone camera based on point pattern analysis of herd behaviour

Cited by 14 publications

References 17 publications

Hérnia Inguino-Escrotal Congênita Em Cordeiro – Relato De Caso

Hérnia Inguino-Escrotal Congênita Em Cordeiro – Relato De Caso

MCP: Multi-Chicken Pose Estimation Based on Transfer Learning

A novel efficient wildlife detecting method with lightweight deployment on UAVs based on YOLOv7

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