Leveraging Dielectric Properties, Remote Sensing, and Sensor Technology in Agriculture: A Perspective on Industry and Emerging Technologies
Studies in Systems, Decision and Control, ISSN: 2198-4190, Vol: 565, Page: 89-109
2024
- 10Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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- 10
Book Chapter Description
The integration of Industry principles with emerging technologies has Brought forth a fresh epoch characterized by precision and efficiency in agricultural practices. This chapter explores the relationship between dielectric properties, remote sensing, and sensor technology in revolutionizing agricultural practices. Dielectric properties serve as fundamental indicators of soil moisture content, nutrient levels, and plant health. Through advancements in sensor technology, such properties are now measured with unprecedented accuracy and speed, enabling real-time monitoring of agricultural parameters. Advanced remote sensing technologies, encompassing satellite imagery and unmanned aerial vehicles (UAVs), significantly bolster this capability by furnishing thorough spatial data concerning crop conditions and environmental elements. The chapter discusses the various applications of these technologies across the agricultural value chain. From optimizing irrigation strategies based on soil moisture data to implementing targeted nutrient management through precise monitoring of plant health indicators, data-driven decision-making occurs at every stage of production. Furthermore, the incorporation of artificial intelligence alongside machine learning algorithms facilitates predictive analysis, granting farmers the ability to foresee and address forthcoming obstacles. Additionally, the section explores the interplay among these technologies and their contribution to nurturing sustainable agricultural methodologies. Through the reduction of resource depletion and optimization of crop output, Industry 5.0 advocates for both environmental preservation and economic sustainability within agricultural endeavors. Additionally, the scalability and adaptability of these solutions cater to diverse agricultural landscapes, from smallholder farms to large-scale agribusinesses. In conclusion, the convergence of dielectric properties, remote sensing, and sensor technology represents a paradigm shift in agriculture, driving productivity gains and ecological resilience. Through a comprehensive exploration of their applications and implications, this chapter provides valuable insights into employing the full potential of Industry and emerging technologies for the advancement of the agriculture industry.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85210015339&origin=inward; http://dx.doi.org/10.1007/978-3-031-70996-8_5; https://link.springer.com/10.1007/978-3-031-70996-8_5; https://dx.doi.org/10.1007/978-3-031-70996-8_5; https://link.springer.com/chapter/10.1007/978-3-031-70996-8_5
Springer Science and Business Media LLC
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