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Turkish Journal of Agriculture and Forestry

Author ORCID Identifier

JING NIE: 0000-0002-3763-9559

KE WU: 0009-0009-7910-2264

YANG LI: 0000-0002-4268-4004

JINGBIN LI: 0000-0003-4264-7024

BOHAN HOU: 0009-0008-8412-1665

DOI

10.55730/1300-011X.3243

Abstract

With the rapid development of Internet of Things (IOT), big data analysis, artificial intelligence and other technologies, precision agriculture is receiving more and more attention and emphasis worldwide. Precision agriculture (PA), also known as fine agriculture and precision agriculture, refers to an agricultural method that obtains spatial and temporal variability information on crop yields and environmental factors (e.g., soil structure, topography, plant nutrients, water content, pests and diseases, etc.) in farm plots through high-tech to achieve positioning, timing, and quantification of the implementation of modern farming operation techniques and management.And fertilizer application plays an indispensable role in agricultural production. Reasonable fertilization can improve crop yield and quality, but excessive or improper fertilization will lead to resource waste and environmental pollution. Therefore, with the advancement of agricultural modernization and the popularity of precision agriculture (PA), precision fertilization decision-making has become an important research field for agricultural development.Remote sensing technology, as an advanced space information technology, provides powerful data support for precision agriculture. Hyperspectral remote sensing is an important branch of remote sensing technology, which utilizes hyperspectral sensors to collect spectral information on features, enhancing our understanding and ability to monitor phenomena on the Earth's surface by providing finer spectral information.Hyperspectral remote sensing technology has applications in many fields, including agriculture, forestry, environmental monitoring, geological exploration and urban planning. In the field of agriculture, it can be used for precise fertilization, crop pest and disease monitoring, yield prediction, etc. In this paper, while researching hyperspectral remote sensing technology, the application of this technology in the field of precision fertilization decision-making is also outlined, aiming to provide reference for the modernization and accelerated development of agriculture.

Keywords

Precision agriculture, remote-sensing technology, hyperspectral remote sensing, precision fertilization

First Page

1084

Last Page

1104

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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