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      Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging

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          scikit-image: image processing in Python

          scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image. More information can be found on the project homepage, http://scikit-image.org.
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            Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

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              The application of small unmanned aerial systems for precision agriculture: a review

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                Author and article information

                Journal
                International Journal of Applied Earth Observation and Geoinformation
                International Journal of Applied Earth Observation and Geoinformation
                Elsevier BV
                15698432
                October 2020
                October 2020
                : 92
                : 102177
                Article
                10.1016/j.jag.2020.102177
                f9d5aea8-fedd-4421-a5e8-aabb94481300
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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