{"title":"Tracking Darwin's footprints but with LiDAR for booting up the 3D and even beyond-3D understanding of plant intelligence","authors":"Yi Lin","doi":"10.1016/j.rse.2024.114246","DOIUrl":null,"url":null,"abstract":"<div><p>As an emerging subject of the implication on revolutionizing many fields from botany to life science, plant intelligence (PI) has been actively studied but also trapped in debate. Inspired by those earlier botanists such as Darwin conceiving this concept when observing plants outdoors, we propose to track Darwin's footprints – go again to the wild where plants show higher-fold adapting performance than in labs for arousing a re-cognition of PI. However, this plan must face a basic challenge on in-situ plant phenotyping, especially in structure, which serves as the three-dimensional (3D) phenomenological display of varying PI behaviors. Aiming at this core bottleneck, we suggest to go but with 3D remote/proximal sensing (R/PS) devices such as Light Detection and Ranging (LiDAR) – a state-of-the-art technology of fully but fine mapping plants, for starting a 3D cognition of PI. Further, to decode the mechanism of PI occurring, we preview the next-generation (e.g., hyperspectral, fluorescence, and polarization) LiDAR with the latent capacity on all-round phenotyping of plants. Their derived 3D biochemical, physiological, and biophysical functional traits can arouse a beyond-3D cognition of PI. Overall, this theoretical prospect, with the available R/PS technology traced for upgrading PI from conceptual debating to mechanistic understanding, can advance the PI field into its 3D and even beyond-3D times and bring the PI and PI-relevant sciences such as sustainability cognition to breathe new life.</p></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":null,"pages":null},"PeriodicalIF":11.1000,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0034425724002645/pdfft?md5=7b2c19b35df902d12eda7fa16e422dd2&pid=1-s2.0-S0034425724002645-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425724002645","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
As an emerging subject of the implication on revolutionizing many fields from botany to life science, plant intelligence (PI) has been actively studied but also trapped in debate. Inspired by those earlier botanists such as Darwin conceiving this concept when observing plants outdoors, we propose to track Darwin's footprints – go again to the wild where plants show higher-fold adapting performance than in labs for arousing a re-cognition of PI. However, this plan must face a basic challenge on in-situ plant phenotyping, especially in structure, which serves as the three-dimensional (3D) phenomenological display of varying PI behaviors. Aiming at this core bottleneck, we suggest to go but with 3D remote/proximal sensing (R/PS) devices such as Light Detection and Ranging (LiDAR) – a state-of-the-art technology of fully but fine mapping plants, for starting a 3D cognition of PI. Further, to decode the mechanism of PI occurring, we preview the next-generation (e.g., hyperspectral, fluorescence, and polarization) LiDAR with the latent capacity on all-round phenotyping of plants. Their derived 3D biochemical, physiological, and biophysical functional traits can arouse a beyond-3D cognition of PI. Overall, this theoretical prospect, with the available R/PS technology traced for upgrading PI from conceptual debating to mechanistic understanding, can advance the PI field into its 3D and even beyond-3D times and bring the PI and PI-relevant sciences such as sustainability cognition to breathe new life.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.