Digital Transformation for Sustainable Future - Agriculture 4.0 : A review

Dayioğlu, Mehmet Ali; Türker, Ufuk

doi:10.15832/ankutbd.986431

Cited by 61 publications

(54 citation statements)

References 73 publications

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“…The digital transformation of agriculture is the only way to promote the green and sustainable development of agriculture [ 56 ]. It can minimize input, reduce costs, and ensure the quality and safety of agricultural products from the production end.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation

Zhou

Liu

Wang

et al. 2022

IJERPH

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China’s goal of becoming a strong agricultural country cannot be achieved without the modernization and digital transformation of the agricultural sector. Presently, China’s agriculture has ushered in the era of digital economy transformation. The digital transformation of agriculture has played a huge role in improving agricultural productivity, promoting sustainable development of China’s agricultural economy, and achieving sustainable development goals. The deep integration of digital economy and agricultural economy has become an important issue of The Times. This study uses a two-way fixed-effects model and an instrumental variable method to examine the impact of environmental regulation on agricultural total factor productivity. Using the method of mechanism analysis, the conduction path of improving agricultural productivity under the means of environmental regulation is discussed. Therefore, the visualization analysis results based on the panel data of Chinese agricultural enterprises from 2011 to 2019 show that the distribution of digital transformation and productivity level of enterprises is uneven and tends to be stable in space. The empirical analysis results show that there is a direct and significant positive relationship between voluntary environmental regulation and agricultural total factor productivity. The results of mechanism analysis show that, under the means of environmental regulation, digital transformation plays an indirect role in improving agricultural productivity. On the basis of enriching and deepening the theoretical extension of the “Porter Hypothesis”, this study subtly incorporates environmental regulation, digital transformation, and agricultural productivity into a unified framework, expanding existing research.

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Section: Theoretical Frameworkmentioning

confidence: 99%

The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation

Zhou

Liu

Wang

et al. 2022

IJERPH

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“…Digital technologies are explained with application examples such as the Internet of Things (IoT), cloud computing, big data, artificial intelligence, decision support systems, etc. Wearable sensor technologies, real-time monitoring systems tracking whole conditions of animals in livestock, the IoTbased irrigation and fertilization systems that help enhance the efficiency of irrigation processes and minimize water and fertilizer losses in agricultural fields and greenhouses, blockchain-based electronic agriculture, and solutions based on drones and robotics that reduce herbicide and pesticide use are handled systematically (Dayioglu, 2021). Finger et al (2019) noted that precision farming enables agricultural management decisions to be tailored spatially and temporally.…”

Section: Will Changes In the Common Agricultural Policy Bring A Respe...mentioning

confidence: 99%

Will Changes in the Common Agricultural Policy Bring a Respectful Approach to Environment in EU Countries?

Bielik

Turčeková

Adamičková

et al. 2022

Visegrad Journal on Bioeconomy and Sustainable Development

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Under the 2014–2020 Common Agricultural Policy (CAP), the existence of two pillars is maintained and the link between them is strengthened. Regulation (EU) No. 1307/2013 provides a new system of direct payments. The system consisting of the decoupling of agricultural aid from production (partial decoupling) and the provision of general income support, which came into force in 2003, is being transformed into a system in which single farm payments are replaced by a seven-component system of multi-purpose payments: basic payment per hectare, greening component, additional payment to young farmers, redistributive payment, additional income support in areas with natural handicaps, coupled support, voluntary simplified scheme for small farmers. There are three measures related to greening payments: crop diversification: the farmer must grow at least two different crops; preservation of existing permanent grasslands; the creation of an area of ecological interest corresponding to at least 5% of the arable land of a holding over 15 hectares (excluding permanent grassland and perennial crops). The new CAP aims to increase agriculture‘s contribution to the EU‘s environmental and climate objectives, provide more focused support for smaller farmers and allow Member States greater flexibility to adapt measures to local conditions.

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“…Fitbit monitors the water environment in real time and can control the device when needed [8]. It mainly consists of three parts: the main control module, APP module, and device plug, which can monitor the temperature, dissolved oxygen, salinity, pH, and other parameters of the water body in real time and send them to the user for viewing [9]. Aquaculture can integrate cultural service functions into the aquaculture system and develop industries such as ecotourism, popular science education, and sport fishing, so as to increase income and increase employment.…”

Section: Related Workmentioning

confidence: 99%

Optimization of the Intelligent Sensing Model for Environmental Information in Aquaculture Waters Based on the 5G Smart Sensor Network

Liu¹,

Li²,

Wang

et al. 2022

Journal of Sensors

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This paper adopts a 5G smart sensor network to design intelligent sensing of environmental information in aquaculture waters, and in this way, we study the significance of optimizing the intelligent sensing model. Microservice architecture and big data analysis and processing will become the innovation of technology in the new era. In this regard, it is very important to study a set of aquarium monitoring and management system based on microservice architecture, so that users can understand the changes in the environment in the aquarium, manage a large amount of historical data quickly, and help users solve existing problems. The design pattern of MVVM architecture, unified management of the life cycle, and microservice architecture make the system very easy to expand and maintain; secondly, it realizes the automatic monitoring of the aquarium environment while making multilevel storage optimization for a large amount of data and realizes fast retrieval of a large amount of data; finally, the system can make intelligent regulation in the environmental control of ornamental fish and can automatically adapt to the environmental requirements of different ornamental fish. Finally, the system can make intelligent control in the environment control of ornamental fish and can automatically adapt to the needs of different ornamental fish environments. After testing its server concurrent processing capability, communication stability, and Android performance, the system runs stably. This paper analyzes the architecture module reuse rate and protocol performance; the module reuse rate analysis results show that the various types of modules in the architecture are reused many times and have strong generality, which effectively reduces the development cycle and development cost, and the architecture can quickly and efficiently integrate hardware units such as sensors, actuators, and communication modules; the protocol performance analysis shows that the designed protocol has high communication performance and meets the architecture. The protocol performance analysis shows that the designed protocol has high communication performance and meets the requirements of the architecture in terms of the transmission rate. At the same time, the edge computing module of the architecture further shifts down the edge computing tasks and lays the hardware foundation for the subsequent implementation of sensor data anomaly detection, data encryption transmission, and other functions.

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Digital Transformation for Sustainable Future - Agriculture 4.0 : A review

Cited by 61 publications

References 73 publications

The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation

The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation

Will Changes in the Common Agricultural Policy Bring a Respectful Approach to Environment in EU Countries?

Optimization of the Intelligent Sensing Model for Environmental Information in Aquaculture Waters Based on the 5G Smart Sensor Network

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