Smart Solutions for Control and Management in Livestock Farms

Paunova-Hubenova, Elena; Trichkova-Kashamova, Elisaveta

doi:10.1109/bdkcse53180.2021.9627269

Cited by 5 publications

(2 citation statements)

References 28 publications

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“…These include monitoring the health and well-being of animals, implementing precision feeding and watering systems, overseeing environmental conditions, automating tasks, and collecting and analyzing data. Notable examples of such applications encompass smart collars, robotic milking systems, precision feeding systems, and environmental monitoring systems [131].…”

Section: Livestock Accuracy Enhancing Applicationsmentioning

confidence: 99%

Enhancing Animal Production through Smart Agriculture: Possibilities, Hurdles, Resolutions, and Advantages

Dayoub,

Shnaigat,

Tarawneh

et al. 2024

Ruminants

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Smart livestock farming utilizes technology to enhance production and meet food demand sustainably. This study employs surveys and case studies to gather data and information, subsequently analyzing it to identify opportunities and challenges. The proposed solutions encompass remote sensing, technology integration, farmer education, and stakeholder engagement. The research delves into smart technologies in animal production, addressing opportunities, challenges, and potential solutions. Smart agriculture employs modern technology to improve efficiency, sustainability, and animal welfare in livestock farming. This includes remote monitoring, GPS-based animal care, robotic milking, smart health collars, predictive disease control, and other innovations. Despite the great promise of smart animal production, there are existing challenges such as cost, data management, and connectivity. To overcome these challenges, potential solutions involve remote sensing, technology integration, and farmer education. Smart agriculture provides opportunities for increased efficiency, improved animal welfare, and enhanced environmental conservation. A well-planned approach is crucial to maximize the benefits of smart livestock production while ensuring its long-term sustainability. This study confirms the growing adoption of smart agriculture in livestock production, with the potential to support the sustainable development goals and deliver benefits such as increased productivity and resource efficiency. To fully realize these benefits and ensure the sustainability of livestock farming, addressing cost and education challenges is essential. Therefore, this study recommends promoting a positive outlook among livestock stakeholders and embracing smart agriculture to enhance farm performance.

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Section: Livestock Accuracy Enhancing Applicationsmentioning

confidence: 99%

Enhancing Animal Production through Smart Agriculture: Possibilities, Hurdles, Resolutions, and Advantages

Dayoub,

Shnaigat,

Tarawneh

et al. 2024

Ruminants

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“…Precision feeding has the advantage of facilitating the individual feeding of farmed animals [10,11]. Depending on their health status, age, and other factors [12], animals may require diverse feeding strategies such as different diet compositions, amounts, or daily regimes.…”

Section: The Basic Concepts Of Precision Livestock Feedingmentioning

confidence: 99%

Applying a Mathematical Model for Calculating the Ideal Nutrition for Sheep

Pavlova,

Trichkova-Kashamova,

Dimitrov

2024

Mathematics

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The principal economic sector devoted to the breeding, raising, and production of farm animals is known as the livestock industry. There are precise standards for making high-quality feed in animal husbandry. Precision livestock feeding is a crucial component, with the potential to significantly impact the profitability of livestock; it permits the provision of diets to animals that are precisely tailored to their specific daily nutritional needs. Through simulation modeling, a single model can be created for automated systems to determine daily rations for farm animals. For the purposes of this document, precision livestock feeding refers to the practice of tailoring feed to individual animals or groups of animals, taking into account their changing nutritional needs over time and individual differences in terms of nutritional requirements. The practice aims to optimize animal health and performance while reducing feed waste. This paper presents a formal model for determining the quantities of components needed to achieve a minimum cost mixture that satisfies compositional and quantitative criteria. The present research calculates the amount of hay and silage required to feed an animal per day at the most economical cost by applying an optimization approach that involves defining and solving an optimization problem. The problem is solved using a well-known software package, which is necessary for the practical application of the resulting model. Real data from livestock production in Bulgaria are used to numerically test the model.

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Determining the optimal composition of feed mixtures in a cow farm using a mathematical model

Pavlova,

Dimitrov

2023

APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE’22): Proceedings of the 48th International Conference “Applicati

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Smart Solutions for Control and Management in Livestock Farms

Cited by 5 publications

References 28 publications

Enhancing Animal Production through Smart Agriculture: Possibilities, Hurdles, Resolutions, and Advantages

Enhancing Animal Production through Smart Agriculture: Possibilities, Hurdles, Resolutions, and Advantages

Applying a Mathematical Model for Calculating the Ideal Nutrition for Sheep

Determining the optimal composition of feed mixtures in a cow farm using a mathematical model

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