Author:
R. Shamshiri Redmond,K. Balasundram Siva,Kaviani Rad Abdullah,Sultan Muhammad,A. Hameed Ibrahim
Abstract
Soil salinity and the water crisis are imposing significant challenges to more than 100 countries as dominant factors of agricultural productivity decline. Given the rising trend of climate change and the need to increase agricultural production, it is crucial to execute appropriate management strategies in farmlands to address salinity and water deficiencies. Ground-based soil moisture and salinity sensors, as well as remote sensing technologies in satellites and unmanned aerial vehicles, which can be used for large-scale soil mapping with high accuracy, play a pivotal role in precision agriculture as advantageous soil condition monitoring instruments. Several barriers, such as expensive rates and a lack of systematic networks, may hinder or even adversely impact the progression of agricultural digitalization. As a result, integrating proximal equipment with remote sensing and Internet of things (IoT) capabilities has been shown to be a promising approach to improving soil monitoring reliability and efficiency. This chapter is an attempt to describe the pros and cons of various soil sensors, with the objective of promoting IoT technology in digital agriculture and smart farming.
Reference154 articles.
1. Wen W, Timmermans J, Chen Q , van Bodegom PM. A review of remote sensing challenges for food security with respect to salinity and drought threats. Remote Sensing. 2021;13(1):1-14
2. He C, Liu Z, Wu J, Pan X, Fang Z, Li J, et al. Future global urban water scarcity and potential solutions. Nature Communications. 2021;12(1):1-11
3. FAO. Water Scarcity—One of the greatest challenges of our time. Accessed date: 20 March 2019. Available from: https://www.fao.org/fao-stories/article/en/c/1185405/
4. United Nations. Summary Progress Update 2021: SDG 6 — water and sanitation for all. Accessed date: 24 February 2021. Available from: https://www.unwater.org/publications/summary-progress-update-2021-sdg-6-water-and-sanitation-for-all/
5. Jalilvand E, Tajrishy M, Ghazi Zadeh Hashemi SA, Brocca L. Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region. Remote Sensing of Environment. 2019;231:111226
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献