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Navegando Artigos por Assunto "Agriculture 4.0"

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    Analysis of the variables that affect the intention to adopt Precision Agriculture for smart water management in Agriculture 4.0 context
    (2019-06-05) MONTELEONE, S.; DE MORAES, E. A.; Rodrigo Filev Maia
    © 2019 IEEE.This work, developed within SWAMP project, presents a conceptual model to analyze the variables that affect the adoption of Precision Agriculture technologies for smart water management in the context of Agriculture 4.0. Through the literature review a conceptual model is proposed that, based on the Internet of Things, Theory of Planned Behavior and Agriculture 4.0, allows predicting and explaining the studied behavior. The model allows analyzing the impact of several actions that can be implemented by the different actors operating in the farm ecosystem. From this model it is possible to define a data model that relates the measures associated to each identified variable, with focus on operations planning and irrigation scheduling. The proposed models show that IoT and Industry 4.0 methods can bring great improvements in planning, control and optimization of agricultural operations and smart water management
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    Exploring the adoption of precision agriculture for irrigation in the context of agriculture 4.0: The key role of internet of things
    (2020-12-02) MONTELEONE, S.; MORAES, E. A. DE; DE FARIA, B. T.; Plinio Thomaz Aquino Junior; Rodrigo Maia; TORRE NETO, A.; TOSCANO, A.
    © 2020 by the authors. Licensee MDPI, Basel, Switzerland.In recent years, the concept of Agriculture 4.0 has emerged as an evolution of precision agriculture (PA) through the diffusion of the Internet of things (IoT). There is a perception that the PA adoption is occurring at a slower pace than expected. Little research has been carried out about Agriculture 4.0, as well as to farmer behavior and operations management. This work explores what drives the adoption of PA in the Agriculture 4.0 context, focusing on farmer behavior and operations management. As a result of a multimethod approach, the factors explaining the PA adoption in the Agriculture 4.0 context and a model of irrigation operations management are proposed. Six simulation scenarios are performed to study the relationships among the factors involved in irrigation planning. Empirical findings contribute to a better understanding of what Agriculture 4.0 is and to expand the possibilities of IoT in the PA domain. This work also contributes to the discussion on Agriculture 4.0, thanks to multidisciplinary research bringing together the different perspectives of PA, IoT and operations management. Moreover, this research highlights the key role of IoT, considering the farmer’s possible choice to adopt several IoT sensing technologies for data collection.