School of Business Administration, Centro Universitário FEI, São Paulo 01525-000, Brazil.
School of Electrical Engineering, Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil.
Sensors (Basel). 2020 Dec 11;20(24):7091. doi: 10.3390/s20247091.
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.
近年来，随着物联网（IoT）的普及，农业 4.0 的概念已经从精准农业（PA）演变而来。人们普遍认为，PA 的采用速度比预期的要慢。关于农业 4.0 以及农民行为和运营管理的研究还很少。本研究探讨了在农业 4.0 背景下推动 PA 采用的因素，重点关注农民行为和运营管理。通过多方法的方法，提出了在农业 4.0 背景下解释 PA 采用的因素和灌溉运营管理模型。进行了六个模拟情景来研究灌溉规划中涉及的因素之间的关系。实证研究结果有助于更好地理解农业 4.0 是什么，并扩大物联网在 PA 领域的可能性。这项工作还通过汇集 PA、物联网和运营管理的不同观点的多学科研究，促进了对农业 4.0 的讨论。此外，这项研究强调了物联网的关键作用，考虑到农民可能选择采用多种物联网感测技术来收集数据。
