数字农科院2.0

Above-Ground Biomass Estimation And Yield Prediction In Potato By Using Uav-Based Rgb And Hyperspectral Imaging

文献类型： 外文期刊

作者： Li, B; Xu, XM; Zhang, L; Han, JW; Bian, CS; Li, GC; Liu, JG; Jin, LP

作者机构：

关键词： Unmanned aerial vehicle; Hyperspectral imaging; Potato; Above-ground biomass; Yield prediction

期刊名称： ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

ISSN： 0924-2716

年卷期： 2020 年 162 卷

页码：

收录情况： JCR（2021版） ; EI（2021版）

摘要： Rapid and accurate biomass and yield estimation facilitates efficient plant phenotyping and site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to acquire RGB and hyperspectral imaging data for a potato crop canopy at two growth stages to estimate the above-ground biomass and predict crop yield. Field experiments included six cultivars and multiple treatments of nitrogen, potassium, and mixed compound fertilisers. Crop height was estimated using the difference between digital surface model and digital elevation models derived from RGB imagery. Combining with two narrow-band vegetation indices selected by the RReliefF feature selection algorithm. Random Forest regression models demonstrated high prediction accuracy for both fresh and dry above-ground biomass, with a coefficient of determination (r(2)) > 0.90. Crop yield was predicted using four narrowband vegetation indices and crop height (r(2) = 0.63) with imagery data obtained 90 days after planting. A Partial Least Squares regression model based on the full wavelength spectra demonstrated improved yield prediction (r(2 )= 0.81). This study demonstrated the merits of UAV-based RGB and hyperspectral imaging for estimating the above-ground biomass and yield of potato crops, which can be used to assist in site-specific crop management.

分类号：

  • 相关文献

[1]Evaluation Of Grain Yield Based O.n Digital Images Of R ice Canopy. Liu, KL, Li, YZ, Han, TF, Yu, XC, Ye, HC, Hu, HW, Hu, ZH. 2019

[2]Predicting Winter Wheat Yield In 2.030 And 2050 In N orth China Based On Bioma-Site And Bioma-Spatial. Huang, Q, Chen, ZX. 2018

[3]Automated Spectral Feature Extraction From H.yperspectral Images To Differentiate W eedy Rice And Barnyard Grass From A Rice Crop. Pieters, Jan G.,Zhang, Yanchao,Lu, Yongliang,He, Yong,Gao, Junfeng,Cen, Haiyan,Yu, Xiaoyue,He, Yong. 2019

[4]Detecting Peanuts Inoculated With Toxigenic A.nd Atoxienic Aspergillus Flavus S trains With Fluorescence Hyperspectral Imagery. Xing, FG, Yao, HB, Hruska, Z, Kincaid, R, Zhu, FL, Brown, RL, Bhatnagar, D, Liu, Y. 2017

[5]Ultra-Wide Vis–NIR Mg2Al4Si5O18:Eu2+,Cr3+ Phosphor Containing Unusual NIR Luminescence Induced by Cr3+ Occupying Tetrahedral Coordination for Hyperspectral Imaging. Zou X., Zhang H., Li W., Zheng M., Molokeev M.S., Xia Z., Zheng Y., Li Q., Liu Y., Zhang X., Lei B.. 2022

[6]Alternative Physical Method for Retrieving Land Surface Temperatures from Hyperspectral Thermal Infrared Data: Application to IASI Observations. Xinyu Lan,Enyu Zhao,Pei Leng,Zhao-Liang Li,Jelila Labed,Francoise Nerry,Xia Zhang,Guofei Shang. 2021

[7]Soluble solids content monitoring for shelf-life assessment of table grapes coated with chitosan using hyperspectral imaging. Shao Y.,Wang K.,Xuan G.,Gao C.,Hu Z.. 2021

[8]Recent Developments And Applications Of H.yperspectral Imaging For Rapid D etection Of Mycotoxins And Mycotoxigenic Fungi In Food Products. Xing, FG, Yao, HB, Liu, Y, Dai, XF, Brown, RL, Bhatnagar, D. 2019

[9]Potato Farmers' Preference For Agricultural Insurance In China: An Investigation Using The Choice Experimental Method. Guo Yan-zhi,Alec Zuo,Huang Ze-ying,Sun Jun-mao. 2020

[10]Tracking Disease Resistance Deployment In P.otato Breeding By Enrichment S equencing. Armstrong, MR, Vossen, J, Lim, TY, Hutten, RCB, Xu, JF, Strachan, SM, Harrower, B, Champouret, N, Gilroy, EM, Hein, I. 2019

[11]The Estimation Of Crop Emergence I.n Potatoes By Uav R gb Imagery. Li, B, Xu, XM, Han, JW, Zhang, L, Bian, CS, Jin, LP, Liu, JG. 2019

[12]Reserving Winter Snow For The R.elief Of Spring Drought B y Film Mulching In Northeast China. Jia, HC, Zhang, Y, Tian, SY, Emon, RM, Yang, XY, Yan, HR, Wu, TT, Lu, WC, Siddique, KHM, Han, TF. 2017

[13]Effects Of (S)-Carvone And Gibberellin O.n Sugar Accumulation In P otatoes During Low Temperature Storage. Xie, YJ, Onik, JC, Hu, XJ, Duan, YQ, Lin, Q. 2018

[14]Challenges and opportunities in managing pests of potato. Gao Y., Alyokhin A., Nauen R., Guedes R.N.C., Palli S.R.. 2022

[15]Stabi5 Involved In The Regulation Of Chloroplast Development And Photosynthesis In Potato. Zhu, TT, Li, LX, Feng, L, Ren, MZ. 2020

[16]Rhizosphere microbiomes of potato cultivated under bacillus subtilis treatment influence the quality of potato tubers. Song J,Kong Z.-Q,Zhang D.-D.,Chen J.-Y,Dai X.-F,Li R. 2021

[17]Evaluation of texture, retrogradation enthalpy, water mobility, and anti-staling effects of enzymes and hydrocolloids in potato steamed bread. Ma M., Mu T., Sun H., Zhou L.. 2022

[18]Isolation And Selection Of Technologically Important Lactic Acid Bacteria And Yeast From Fermented Potato. Aregbe, AY, Mu, TH, Sun, HN. 2020

[19]Potato NAC Transcription Factor StNAC053 Enhances Salt and Drought Tolerance in Transgenic Arabidopsis. Qi Wang,Cun Guo,Zhiyuan Li,Jinhao Sun,Zhichao Deng,Lichao Wen,Xiaoxu Li,Yongfeng Guo. 2021

[20]Comparison Of The Retrieving Precision O.f Potato Leaf Area I ndex Derived From Several Vegetation Indices And Spectral Parameters Of The Continuum Removal Method. Luo, SJ, He, YB, Wang, ZZ, Duan, DD, Zhang, JK, Zhang, YT, Zhu, YQ, Yu, JK, Zhang, SL, Xu, F, Sun, J, Han, ZC, Jiao, WH. 2019

作者其他论文 更多>>