Sustainability Driven by Agriculture through Digital Transformation

Hrustek, Larisa

doi:10.3390/su12208596

Cited by 132 publications

(88 citation statements)

References 42 publications

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“…Therefore, there are several reasons that agriculture in the future is digitally transformed, as it will not only guarantee the sustainability of the business but also economic, environmental, and social sustainability of society as a whole (Hrustek, 2020). So, innovation offers a totally new product to the world, also being able to change the pattern of competition and the structure of industries, as it is related to the influence of the practiced change (Depieri, 2019).…”

Section: Sustainability Innovation and Family Agribusinessesmentioning

confidence: 99%

“…Global warming and climate change, weather disasters, and disruptions are just some of the challenges that can drastically disrupt stable business models, and thus jeopardize sustainability. Agribusiness, as an activity at the center of the value chain, is facing these problems, and, at the same time, contributes to feeding the growing world population and is responsible for conserving resources and ensuring sustainability (Hrustek, 2020).…”

Section: Final Considerationsmentioning

confidence: 99%

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Sustainable management practices and innovation capacity in family agribusinesses

Damke

Gomes

Kneipp

et al. 2021

Environmental Quality Mgmt

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Sustainability and innovation have gained increasing importance in the competitive landscape of organizations. Therefore, this study aimed to analyze the relationships between the adoption of sustainable management practices and innovation capacity in family agribusinesses certified by the Family Agribusiness Program. To this end, a quantitative study using a survey design was carried out with 128 certified Brazilian family agribusinesses. Sustainable management practices were assessed based on the models proposed by Global Reporting Initiative and Callado. Regarding innovation capacity, the study by Valladares was used as a basis. Homals analysis (homogeneity analysis) was used for data analysis. The results showed that the family agribusinesses analyzed that have a high adoption of environmental practices consisting of transformative leaderships that inspire, encourage, and develop people and promote the involvement and cooperation of their employees, high organicity of the organizational structure that allows quick decision‐making and open and transparent communication, and a management for people that allows adequate working conditions, training, and professional recognition.

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Section: Sustainability Innovation and Family Agribusinessesmentioning

confidence: 99%

Section: Final Considerationsmentioning

confidence: 99%

Sustainable management practices and innovation capacity in family agribusinesses

Damke

Gomes

Kneipp

et al. 2021

Environmental Quality Mgmt

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“…Although some authors associate them, in this work we present a distinction between PA and A4.0. While PA is often associated with issues of field variability and specific analyzes and technologies, such as application of agricultural inputs in areas with the greatest productive potential (e.g., the use of georeferenced data for the application of chemicals according to the needs of each area), A4.0 goes beyond the analysis of field variability and aims to manage farms with awareness of context and situation, and to create a value chain that integrates stakeholders, technologies and agricultural processes [11,31,32]. Due to the variety of concepts and interpretations related to technological adoption in agriculture, in this research the term Digital Agriculture is used to describe both concepts associated with digital transformation in agriculture without considering the technological level.…”

Section: Research Backgroundmentioning

confidence: 99%

“…In this perspective, A4.0 goes beyond local and specific analyzes to include all agricultural processes. Studies related to A4.0 address the development of decision support systems to integrate all members of the production chain [1], responsible innovation [47], real-time integration of IoT for agriculture [48], and the potential of A4.0 to address issues associated with environmental sustainability (e.g., carbon emissions and exploitation of natural resources), social (e.g., impact on labor and food security) and economic sustainability (e.g., productivity, costs and agriculture as a subsistence economy) [11,32,[49][50][51][52], among others.…”

Section: Agriculture 40mentioning

confidence: 99%

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

Mk¹,

LdS²,

Cr³

et al. 2021

Preprint

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: The agriculture sector is one of the backbones of many countries’ economies and its processes have been changing in order to enable technological adoption to increase productivity, quality, and sustainable development. In this research, we present a theoretical reflection through a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, the so-called Precision Agriculture (PA) and Agriculture 4.0 (A4.0). To do this, we used 4,694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis (BPNA) of the literature with the support of the PICOC protocol and the SciMAT software. Our findings present 22 strategic themes related to Digital Agriculture (DA) such as Internet of Things (IoT) and Climate-smart Agriculture (CSA) among others, and the thematic network structures of the motor themes and the thematic evolution structure of the field of the study over time. In addition, our results discuss the main challenges and opportunities of DA. Our findings have the potential to provide insights for practitioners and researchers in decision-making and pave the way for future works.

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“…Agriculture, as an activity at the center of the value chain, faces the challenges of climate change, while at the same time feeding a growing global population and is responsible for conserving resources and ensuring sustainability. Therefore, researchers [Hrustek, Larisa., 2020;Pajewski, Tomasz;Malak-Rawlikowska, Agata;Golebiewska, Barbara., 2020;Pham, Hannah;Sutton, Bruce G . ;Brown, Paul J., 2020] more deeply studied process automation, data analysis and processing, control and management of agricultural operations that contributed to stability, survival and development.…”

mentioning

confidence: 99%

Methodology and model of agricultural technologies environmental and economic management

Кравчук¹,

Targonya²,

Gaidai³

et al. 2020

TTA

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Abstract. The work is devoted to the problems of solving the double problem of agricultural engineering (according to the international definition): "Feed the world and save the planet" using the ability to manage the environmental, energy and economic components of agricultural technologies. It was confirmed that the management process sets the conditions: to plan (program), execute, evaluate and continuously act on the creation and improvement of creative agricultural technologies based on the laws of the historical development of the planet's nature (biosphere laws). Based on these principles, an abstract-logical model of the interconnection of the "environment-agricultural technologies" system, as well as the methodology for a systematic approach to climate-smart agricultural production practices, which will conserve natural resources, while increasing agricultural production, is proposed. Goal of Research. To Improve the model of the relationship between the environment, agricultural technologies and engineering solutions, as well as the methodology of environmental and economic management of agricultural technologies based on climate-smart agricultural practices, with the display of accurate regulation of all its constituent parts, processes and procedures. Research methods. Methods of planning (programming) agricultural technologies or products in accordance with ISO recommendations; agrometeorological parameters, including vegetation indices, achieved by mathematical processing of remote sensing data (RSD) and modeling these parameters, according to the European Union project MARS (MCYFS - MARS Crop Grow Forecasting System); crop growth modeling system CGMS were used. Research results. The developed model of the relationship "environment- agricultural technologies" and the methodology of ecological and economic management the agricultural technologies provides for the implementation of a hierarchical multi-circuit process of modern nature management on a geo-community basis, displaying the precise regulation of all components: forecasting systems; systems of environmental management and defragmentation of technical and technological solutions to the conditions of environmental and economic optimization. Conclusions. The ecological and economic problems at the present stage of development of society in the production of agricultural products are considered. Possible ways of their solution have been determined on the example of an abstract-logical model of the relationship between the environment, agricultural technologies and engineering solutions, as well as the methodology of ecological and economic management of agricultural technologies.

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Sustainability Driven by Agriculture through Digital Transformation

Cited by 132 publications

References 42 publications

Sustainable management practices and innovation capacity in family agribusinesses

Sustainable management practices and innovation capacity in family agribusinesses

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

Methodology and model of agricultural technologies environmental and economic management

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