scholarly journals Evaluation of Deep Learning for Automatic Multi-View Face Detection in Cattle

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1062
Author(s):  
Beibei Xu ◽  
Wensheng Wang ◽  
Leifeng Guo ◽  
Guipeng Chen ◽  
Yaowu Wang ◽  
...  

Individual identification plays an important part in disease prevention and control, traceability of meat products, and improvement of agricultural false insurance claims. Automatic and accurate detection of cattle face is prior to individual identification and facial expression recognition based on image analysis technology. This paper evaluated the possibility of the cutting-edge object detection algorithm, RetinaNet, performing multi-view cattle face detection in housing farms with fluctuating illumination, overlapping, and occlusion. Seven different pretrained CNN models (ResNet 50, ResNet 101, ResNet 152, VGG 16, VGG 19, Densenet 121 and Densenet 169) were fine-tuned by transfer learning and re-trained on the dataset in the paper. Experimental results showed that RetinaNet incorporating the ResNet 50 was superior in accuracy and speed through performance evaluation, which yielded an average precision score of 99.8% and an average processing time of 0.0438 s per image. Compared with the typical competing algorithms, the proposed method was preferable for cattle face detection, especially in particularly challenging scenarios. This research work demonstrated the potential of artificial intelligence towards the incorporation of computer vision systems for individual identification and other animal welfare improvements.

2021 ◽  
Author(s):  
Choolwe Muzyamba ◽  
Ogylive Mphanza Makova ◽  
Geofrey Mushibi

Abstract Background: While lockdowns have become a gold standard response to the Covid-19 pandemic, debates on its usefulness still continue. There is currently good amount of research work originating from western countries on the usefulness of lockdowns, however, similar research is still missing in low income countries like Uganda which implemented stricter lockdowns. More importantly, not much is known about the views of the residents of Uganda for which such a measure was meant for. Despite the implementation of lockdowns, it is still not yet known how relevant residents of Uganda view the lockdown. Research has demonstrated that interventions are most successful when they resonate with the target population This study fills this identified gap by investigating the views and lived experiences of residents of Uganda with regards to the usefulness of the lockdown as a response to the prevention and control of COVID-19.Methods: This was a cross sectional survey using qualitative methods of data collection. Data will was collected from 1000 participants in the four regions of Uganda on the views and experiences on lockdown as a response to the prevention and control of COVID-19 crisis among residents of Uganda. Data collection was down through use of a Qualtrics Survey Tool. Thematic analysis with the help of the Social representation theory was then used to analyze the data. Findings: The study demonstrated that there was visible nuance in the manner in which the lockdown was characterized. On one hand it was seen as useful in slowing down the spread, protecting the fragile healthcare system and giving government enough time to learn about the novel virus and thus respond efficiently. On the other hand, our participants were critical of its devastative nature on the livelihoods of people. Particularly, the lockdown closed down economic survival opportunities for the most vulnerable in society, increased unemployment and poverty levels. The lockdown also contributed to worsening mental health conditions and simultaneously provided fertile ground for domestic abuse including sexual abuse especially among girls.Conclusion: Ultimately, our study questions the narrow view of branding the lockdown as unequivocally good or bad. It rather sheds light on the complexities of its effect on society in Uganda by pointing out its multicapillary-like consequences in society wherein it can, in various ways protect lives and at the same time destroy livelihoods. Our study thus highlights that responding to such complexities defies the logic of implementing the lockdown as a ‘one-size-fits-all magic bullet’, but rather that it must be contextualized, localized and appropriated to the realities of Uganda.


2013 ◽  
pp. 1434-1460
Author(s):  
Ong Chin Ann ◽  
Marlene Valerie Lu ◽  
Lau Bee Theng

The main purpose of this research is to enhance the communication of the disabled community. The authors of this chapter propose an enhanced interpersonal-human interaction for people with special needs, especially those with physical and communication disabilities. The proposed model comprises of automated real time behaviour monitoring, designed and implemented with the ubiquitous and affordable concept in mind to suit the underprivileged. In this chapter, the authors present the prototype which encapsulates an automated facial expression recognition system for monitoring the disabled, equipped with a feature to send Short Messaging System (SMS) for notification purposes. The authors adapted the Viola-Jones face detection algorithm at the face detection stage and implemented template matching technique for the expression classification and recognition stage. They tested their model with a few users and achieved satisfactory results. The enhanced real time behaviour monitoring system is an assistive tool to improve the quality of life for the disabled by assisting them anytime and anywhere when needed. They can do their own tasks more independently without constantly being monitored physically or accompanied by their care takers, teachers, or even parents. The rest of this chapter is organized as follows. The background of the facial expression recognition system is reviewed in Section 2. Section 3 is the description and explanations of the conceptual model of facial expression recognition. Evaluation of the proposed system is in Section 4. Results and findings on the testing are laid out in Section 5, and the final section concludes the chapter.


2020 ◽  
Vol 214 ◽  
pp. 03026
Author(s):  
Zhang Xin ◽  
Zhao Keyu ◽  
Peng Lin

Visual analysis of the field of agricultural pollution prevention and control will help researchers to fully understand the research status at home and abroad, and better fit the current situation for further research. Mothod: Web of Science database was used to retrieve 2,214 literatures related to agricultural pollution prevention and control from 2000 to 2018 as data sources, and VOSviewer software was used for visual analysis. The results showed that the research heat of agricultural pollution control showed a good upward trend; Since 2010, China’s rapid growth in the volume of publications has ranked first, while the United States has remained stable for a long time, ranking second; Chinese institutions hold eight of the top 10 spots, with the Chinese academy of sciences at the absolute center of the field; In the research hotspot, it is divided into three clusters.1# In the field of agricultural pollution prevention and control, we have the ability to effectively control nitrogen, quality and phosphorus; China has made in-depth research on sediments, heavy metals and agricultural soils.3# Indian researchers have paid considerable attention to the prevention and control of surface water, drainage basins and groundwater pollution, and carried out in-depth research work for this purpose.


2021 ◽  
Vol 2 (12) ◽  
pp. 1187-1196
Author(s):  
Shanti Lal Choubisa ◽  
Anurag Choubisa

Rajasthan, situated at the north-western part of India is the biggest state in the country of India and has total of 33 districts. By merging eight tribal dominating districts namely, Banswara, Chittourgarh, Dungarpur, Pali, Pratapgarh, Rajasamand, Sirohi, and Udaipur of these, the government has created a special area called the ‘schedule area” in which >70% of the people are tribal. This area is mostly backward and underdeveloped where malaria is also hyperendemic. In this area, Bhil, Damor, Meena, Garasiya, Kathudia and Sahariya are the most dominating and major endogamous tribes. Besides the several communicable and non-communicable diseases in this area, certain erythrocyte genetic disorders, Sickle-Cell Haemoglobin (Hb-S), β-thalassaemia and G-6-PD deficiency (Gd) are also deteriorating the tribal health and causing morbidity and mortality in them. Genes of these red cell genetic disorders are more prevalent and widely distributed among tribal people. The maximum prevalence of these blood genetic disorders in tribes was found as 31.14%, 9.00% and 22.00%, respectively. Since the groundwater of this tribal area contains a high amount of Fluoride (F), drinking it poses a high risk of premature death of tribal people who already have homozygous state of sickle-cell and β-thalassaemic genes. In present communication, besides the focus on tribal health, the status of genes of sickle-cell haemoglobin, β-thalassaemia and G-6-PD deficiency in different tribal ethnic groups of scheduled area, the correlation of these blood genetic disorders with malaria, impact of F intoxication in tribal subjects possessing red cell genetic disorders and the prevention and control of these erythrocyte genetic disorders in tribal people have been critically reviewed. The results of this review are significant and advantageous in making and execution of prevention and control programme of these blood genetic disorders in tribals of scheduled area of Rajasthan, India. Moreover, in this review, research gaps are also highlighted for further research work.


2021 ◽  
Vol 336 ◽  
pp. 06005
Author(s):  
Yizhuo Zhou ◽  
Jiming Sa ◽  
Yang Xiang ◽  
Yihao Zhang ◽  
Fenghao Zheng ◽  
...  

In order to control the epidemic and complete the supervision of increasing population, we devised a kind of face detection system. This system detected face with MTCNN and then it detect whether the person wears the mask with MobileNet. Also we added non-standardized samples in the model training so that it can detect pedestrians who are not properly worn. The experimental results showed that the system can effectively identify the wearing of masks.


Author(s):  
Ong Chin Ann ◽  
Marlene Valerie Lu ◽  
Lau Bee Theng

The main purpose of this research is to enhance the communication of the disabled community. The authors of this chapter propose an enhanced interpersonal-human interaction for people with special needs, especially those with physical and communication disabilities. The proposed model comprises of automated real time behaviour monitoring, designed and implemented with the ubiquitous and affordable concept in mind to suit the underprivileged. In this chapter, the authors present the prototype which encapsulates an automated facial expression recognition system for monitoring the disabled, equipped with a feature to send Short Messaging System (SMS) for notification purposes. The authors adapted the Viola-Jones face detection algorithm at the face detection stage and implemented template matching technique for the expression classification and recognition stage. They tested their model with a few users and achieved satisfactory results. The enhanced real time behaviour monitoring system is an assistive tool to improve the quality of life for the disabled by assisting them anytime and anywhere when needed. They can do their own tasks more independently without constantly being monitored physically or accompanied by their care takers, teachers, or even parents. The rest of this chapter is organized as follows. The background of the facial expression recognition system is reviewed in Section 2. Section 3 is the description and explanations of the conceptual model of facial expression recognition. Evaluation of the proposed system is in Section 4. Results and findings on the testing are laid out in Section 5, and the final section concludes the chapter.


Author(s):  
N.V. Momot ◽  
◽  
Y.A. Kolina ◽  
I.L. Kamliya ◽  
◽  
...  

As a result of laboratory investigations, the Rosselkhoznadzor Maritime Inter-Blast Veteri-nary Laboratory confirmed the presence of DNA from the African Pig Plague (ACS) virus in the wild and in private accessories in the Primorsky Territory. In all of 2019, 50 APC flares were recorded, although the province was previously consid-ered to be a APC success. Veterinary specialists of the Primorsky Krai region in April 2020 man-aged to eliminate all pockets of African plague of pigs. In April 2020, the Russian veterinary spe-cialists of the Primorskaya Krai region managed to eliminate all pockets of African pig plague. However, by mid-2020, Primorje experienced new outbreaks of APC, with 45 cases recorded by early autumn. The disease can occur at any time of the year. The source of the ACS causative agent is sick and sick pigs. Since the virus can spread not only with infected viral animals, including the incubation pe-riod, but also through various infected objects, the products of the infected pigs are particularly dangerous (meat, meat products, lard, blood, bones, hides, etc.). Virus-infected food and combat wastes used to feed pigs without careful venting have in most cases infected pigs with the African plague. Natural and legal persons who are the owners (owners) of pigs are obliged to carry out pre-ventive measures to prevent the emergence and spread of ACS.


2005 ◽  
Vol 24 (4, Suppl) ◽  
pp. S106-S110 ◽  
Author(s):  
Kevin D. McCaul ◽  
Ellen Peters ◽  
Wendy Nelson ◽  
Michael Stefanek

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