Pig farmers' willingness to recover their production under COVID-19 pandemic shock in China – Empirical evidence from a farm survey

Zhuo, Ni

doi:10.1016/s2095-3119(20)63411-6

Cited by 19 publications

(10 citation statements)

References 15 publications

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“…These problems have also become the problems to be solved in this study. On this basis, build an intelligent network learning platform that can recommend learning strategies and learning content according to students' personalized needs and provide a bridge for teachers and students to interact [19,20].…”

Section: Investigation and Analysis Of Personalized Learning Platformmentioning

confidence: 99%

Construction of Personalized Learning Platform Based on Intelligent Algorithm in the Context of Industry Education Integration

Qian

2022

Advances in Multimedia

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In order to meet the personalized needs of different students and provide students with a variety of intelligent learning strategies and learning content, this research is aimed at the current lack of intelligent function design in the network teaching platform of colleges and universities. Based on the concept of integration of production and education, with the help of intelligent recommendation algorithm of reinforcement learning, a personalized learning platform based on intelligent algorithm is constructed. First, through the method of questionnaire survey to understand the students’ needs for personalized learning and the functions of online teaching platform, on this basis, build a personalized learning platform based on reinforcement learning and data mining intelligent algorithm. The system test results show that when the number of accesses is less than 2000, the CPU and memory resources of the system basically remain unchanged. When the number of accesses is less than 3000, the CPU utilization rate reaches 70%, and the performance decreases, but it can also ensure normal operation.

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Section: Investigation and Analysis Of Personalized Learning Platformmentioning

confidence: 99%

Construction of Personalized Learning Platform Based on Intelligent Algorithm in the Context of Industry Education Integration

Qian

2022

Advances in Multimedia

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“…In particular, the epidemic has brought about profound changes in agricultural production and farmers' lives, with Covid-19 having a significant impact on agricultural profitability, resulting in higher production costs and lower profitability for farmers (Rahmann et al, 2021). It has also led to an inadequate supply of agricultural production materials, which has an impact on farmers' production intentions and livelihood decisions ( Zhuo et al, 2020 ). Interestingly, organic green agriculture is highly resistant to the impact of the covid-19 pandemic, and organic green-producing farms show a high degree of resilience ( Grigorescu et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Farmers' cognition of the COVID-19 outbreak, risk perception and willingness of green production

Luo

Qiao

Wang

et al. 2022

Journal of Cleaner Production

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“…Simple daily routines, such as walking a dog or caring for livestock have been affected by sickness, social distancing and/or quarantine restrictions ( Bowen et al, 2020 ). Wider issues such as transport, education and training, animal care or safeguarding the average food and feed supply, vital for both people and animals, were and still are being affected ( Marchant-Forde Jeremy and Boyle Laura, 2020 ; Vidaurreta et al, 2020 ; Zhuo et al, 2020 ). World leaders had to prioritise key issues such as food security and livelihoods of the most vulnerable, as well as setting up expert groups to understand and mitigate the pandemic’s impact on society, by improving our understanding on the virus origin, spread and control measures ( EU, 2020 ; CA, 2020 )…”

Section: Introductionmentioning

confidence: 99%

One welfare impacts of COVID-19 – A summary of key highlights within the one welfare framework

Pinillos¹

2021

Applied Animal Behaviour Science

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One Welfare describes the interconnection between animal welfare, human wellbeing and their physical and social environment. The SARS-CoV-2 virus is the cause of COVID-19 and emerged as a human pathogen in 2019 although is thought to have a zoonotic source. The original wildlife reservoir and any potential intermediate hosts have not yet been identified. The combination of the virus zoonotic condition together with the impacts of disease control measures has exposed clear interconnections between animals, people and their environment from both a health and a welfare perspective. The One Welfare Framework comprises five sections that can help understand the different One Welfare levels on which the COVID-19 pandemic has impacted the world. This paper uses the One Welfare Framework to provide an overview of examples, within each of the five sections, where evidence is and/or can be made available to document COVID-19 impacts on One Welfare. The paper identifies a number of areas where further research and evidence gathering is required to better understand the different One Welfare impacts. Based on evidence summarised in this paper the author recommends that those responsible for managing the COVID-19 impacts and for planning the future recovery phase of the pandemic should consider adopting a holistic approach, including both health and welfare, by adopting & One Health, One Welfare& policies.

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Pig farmers' willingness to recover their production under COVID-19 pandemic shock in China – Empirical evidence from a farm survey

Cited by 19 publications

References 15 publications

Construction of Personalized Learning Platform Based on Intelligent Algorithm in the Context of Industry Education Integration

Construction of Personalized Learning Platform Based on Intelligent Algorithm in the Context of Industry Education Integration

Farmers' cognition of the COVID-19 outbreak, risk perception and willingness of green production

One welfare impacts of COVID-19 – A summary of key highlights within the one welfare framework

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