Medina Daniel Enrique, Medina Juan David, Zorro Julio Alexis, Medina Tobon Daniel, Gomez Juan Jose, Giraldo Luis Felipe
Research and Development Ozmidia SAS, Bogotá, Colombia.
Research and Development Xemog, LLC, Apopka, USA.
Sci Rep. 2024 Dec 28;14(1):31178. doi: 10.1038/s41598-024-82344-4.
Agriculture 4.0 technologies continue to see low adoption among small and medium-sized farmers, primarily because these solutions often fail to account for the specific challenges of rural areas. In this work, we propose and implement a design methodology to develop a Precision Agriculture solution aimed at assisting farmers in managing water stress in Hass avocado crops. This methodology provides a structured approach for development, enabling the identification of key issues and appropriate solutions. The resulting device measures essential weather variables for calculating crop evapotranspiration and effective precipitation, operates without requiring internet or electricity connections, and transmits data globally via satellite connectivity, overcoming the limitations of existing solutions for this crop. As a result, it can detect water stress and provide crucial information for irrigation scheduling. The proposed solution was tested at a working Hass avocado farm for over a year, collecting weather data and undergoing both major and minor revisions during the iterative testing process. The collected data-covering air temperature, relative humidity, sunshine duration, and rainfall-has been made freely available to support further research and development.
农业4.0技术在中小型农户中的采用率仍然很低，主要原因是这些解决方案往往没有考虑到农村地区的具体挑战。在这项工作中，我们提出并实施了一种设计方法，以开发一种精准农业解决方案，旨在帮助农户管理哈斯牛油果作物的水分胁迫。这种方法提供了一种结构化的开发方法，能够识别关键问题并找到合适的解决方案。最终的设备可测量用于计算作物蒸散量和有效降水量的基本气象变量，无需互联网或电力连接即可运行，并通过卫星连接在全球范围内传输数据，克服了该作物现有解决方案的局限性。因此，它可以检测水分胁迫并为灌溉调度提供关键信息。所提出的解决方案在一个运营中的哈斯牛油果农场进行了一年多的测试，收集气象数据，并在迭代测试过程中进行了多次大小修订。所收集的数据涵盖气温、相对湿度、日照时长和降雨量，已免费提供，以支持进一步的研发工作。
