3D Vision for Precision Dairy Farming

Mahony, Niall O’; Campbell, Sean; Carvalho, Anderson; Krpálková, Lenka; Riordan, Daniel; Walsh, Joseph T.

doi:10.1016/j.ifacol.2019.12.555

Cited by 45 publications

(18 citation statements)

References 16 publications

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“…Body condition is in high correlation with the health and metabolic status of the dairy cow and also with milk composition during lactation [ 105 ]. Body condition assessment is an indirect appraisal of the level of body reserves, and deviations reveal aggregate variation in energy balance [ 106 , 107 ]. The routine evaluation of body condition is based on visual observation and palpation of specific body areas to determine a score that assesses the adipose tissue and muscle mass deposits [ 108 ].…”

Section: Welfare Of Dairy Cows and Precision Livestock Farmingmentioning

confidence: 99%

Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition

Silva

Araújo

Guedes

et al. 2021

Animals

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Specific animal-based indicators that can be used to predict animal welfare have been the core of protocols for assessing the welfare of farm animals, such as those produced by the Welfare Quality project. At the same time, the contribution of technological tools for the accurate and real-time assessment of farm animal welfare is also evident. The solutions based on technological tools fit into the precision livestock farming (PLF) concept, which has improved productivity, economic sustainability, and animal welfare in dairy farms. PLF has been adopted recently; nevertheless, the need for technological support on farms is getting more and more attention and has translated into significant scientific contributions in various fields of the dairy industry, but with an emphasis on the health and welfare of the cows. This review aims to present the recent advances of PLF in dairy cow welfare, particularly in the assessment of lameness, mastitis, and body condition, which are among the most relevant animal-based indications for the welfare of cows. Finally, a discussion is presented on the possibility of integrating the information obtained by PLF into a welfare assessment framework.

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Section: Welfare Of Dairy Cows and Precision Livestock Farmingmentioning

confidence: 99%

Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition

Silva

Araújo

Guedes

et al. 2021

Animals

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“…Time of flight (ToF) depth sensing cameras have been used in many recent developments in AMSs. Acceptable accuracy (teat location detection within 5 mm) has been achieved when the search space is limited to a region of interest 150 mm wide by 80 mm deep [ 85 ]. Teat detection and tracking using algorithmic solutions from depth images and point-cloud data were also achieved according a study by Rodenburg et al [ 86 ].…”

Section: Precision Livestock Farmingmentioning

confidence: 99%

“…Other vision technologies have also been investigated using a Kinect structured light camera and a Haar Cascade classifier [ 87 ], or using a combination of thermal imaging and stereovision techniques [ 88 ]. The task of attaching the milking clusters to the cows’ teats is a challenging one as the shape of the udder is variable between cows and between distinct stages of lactation [ 85 ].…”

Section: Precision Livestock Farmingmentioning

confidence: 99%

“…Therefore, an intelligent control of the robot is required using visual feedback to navigate the cluster onto the cow accurately, safely, and quickly. A system that can milk cows with unusually shaped udders or that do not take to a robot milker, which would otherwise have to be culled as is the case with some existing AMSs, would also be a considerable advantage [ 85 ].…”

Section: Precision Livestock Farmingmentioning

confidence: 99%

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Precision Agriculture for Crop and Livestock Farming—Brief Review

Monteiro

Santos

Gonçalves

2021

Animals

153

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In the last few decades, agriculture has played an important role in the worldwide economy. The need to produce more food for a rapidly growing population is creating pressure on crop and animal production and a negative impact to the environment. On the other hand, smart farming technologies are becoming increasingly common in modern agriculture to assist in optimizing agricultural and livestock production and minimizing the wastes and costs. Precision agriculture (PA) is a technology-enabled, data-driven approach to farming management that observes, measures, and analyzes the needs of individual fields and crops. Precision livestock farming (PLF), relying on the automatic monitoring of individual animals, is used for animal growth, milk production, and the detection of diseases as well as to monitor animal behavior and their physical environment, among others. This study aims to briefly review recent scientific and technological trends in PA and their application in crop and livestock farming, serving as a simple research guide for the researcher and farmer in the application of technology to agriculture. The development and operation of PA applications involve several steps and techniques that need to be investigated further to make the developed systems accurate and implementable in commercial environments.

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“…In animal husbandry, the success of computer vision is less significant. For example, in the article [7] the authors claim that such technologies will play an important role in the next generation of dairy farming processes. Also, they note that these technologies will be used in monitoring processes, feeding, grazing and milking of animals.…”

Section: Computer Vision In Agriculturementioning

confidence: 99%

Application of computer vision technology in the development of ultrasonic repeller

Петров

Popov

2020

E3S Web Conf.

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The issues that are nowadays identified during the implementation of the «Digital agriculture» project are considered. Directions of development of modern agriculture in Russia where digital technologies are being introduced are fixed. It is the Internet of things, robotics, artificial intelligence, and big data analysis. We have analyzed agricultural directions and scientific works where researches are doing and the technologies of computer vision are implementing. Scientific issues that are solved in plant growing by using computer vision are highlighted. Conclusions are made on the implementation of this technology in animal husbandry and fish farming. A device for ultrasonic repelling of synanthropic mammals with the possibility of detecting a synanthropic organism has been developed. The research on the influence of ultrasonic signals on mink behavior is conducted. Further ways of using computer vision in fish farming are defined for working with applied issues that can be solved exclusively with the help of deep learning neural networks.

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3D Vision for Precision Dairy Farming

Cited by 45 publications

References 16 publications

Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition

Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition

Precision Agriculture for Crop and Livestock Farming—Brief Review

Application of computer vision technology in the development of ultrasonic repeller

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