Department of Civil and Environmental Engineering, University of Perugia, Borgo XX Giugno 74, Perugia, Italy.
Department of Land Reclamation and Environmental Engineering, University of Agronomic Sciences and Veterinary Medicine of Bucharest, Marasti 59, Sector 1, Bucharest, Romania.
Environ Sci Pollut Res Int. 2021 Jun;28(21):26488-26499. doi: 10.1007/s11356-021-12524-6. Epub 2021 Jan 23.
In many countries, water supplies are limited and must be managed for different uses. Providing additional resources for irrigation can be an expensive option, with an unsustainable impact on small farms and on the environment. Therefore, the main efforts should concentrate on the optimal management of existing water resources, paying particular attention to the adequate management of water demands. In Italy, the majority of scattered smallholder farmers are not provided with enough information on how to correctly manage water for irrigation. This paper presents the developing of a web-based irrigation decision support system adaptable and scalable to individual farms. The irrigation advisory service has been calibrated and validated for pomegranate trees, aubergine, and zucchini through 2 years of tests, in a farm in Southern Italy (Calabria). The results are very satisfactory, both in terms of water resources management for irrigation, and for the feedback provided by the farmers involved in the project. Future development regarding the application of wireless technology in smart irrigation is also evaluated.
在许多国家，水资源有限，必须用于不同用途。为灌溉提供额外的资源可能是一个昂贵的选择，对小农户和环境都会产生不可持续的影响。因此，主要的努力应该集中在优化现有水资源的管理上，特别注意适当管理水的需求。在意大利，大多数分散的小农户没有足够的信息来正确管理灌溉用水。本文介绍了一种基于网络的灌溉决策支持系统的开发，该系统可以适应和扩展到各个农场。该灌溉咨询服务已经通过在意大利南部（卡拉布里亚）的一个农场进行了 2 年的测试，对石榴树、茄子和西葫芦进行了校准和验证。结果非常令人满意，无论是在灌溉水资源管理方面，还是在参与该项目的农民提供的反馈方面。还评估了在智能灌溉中应用无线技术的未来发展。
