Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices
Author
Abstract
Suggested Citation
DOI: 10.1016/j.agwat.2021.107076
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Gago, J. & Douthe, C. & Coopman, R.E. & Gallego, P.P. & Ribas-Carbo, M. & Flexas, J. & Escalona, J. & Medrano, H., 2015. "UAVs challenge to assess water stress for sustainable agriculture," Agricultural Water Management, Elsevier, vol. 153(C), pages 9-19.
- Ezenne, G.I. & Jupp, Louise & Mantel, S.K. & Tanner, J.L., 2019. "Current and potential capabilities of UAS for crop water productivity in precision agriculture," Agricultural Water Management, Elsevier, vol. 218(C), pages 158-164.
- P. J. Brown & M. Vannucci & T. Fearn, 2002. "Bayes model averaging with selection of regressors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 519-536, August.
- Cai, Fu & Zhang, Yushu & Mi, Na & Ming, Huiqing & Zhang, Shujie & Zhang, Hui & Zhao, Xianli, 2020. "Maize (Zea mays L.) physiological responses to drought and rewatering, and the associations with water stress degree," Agricultural Water Management, Elsevier, vol. 241(C).
- Carpintero, E. & Mateos, L. & Andreu, A. & González-Dugo, M.P., 2020. "Effect of the differences in spectral response of Mediterranean tree canopies on the estimation of evapotranspiration using vegetation index-based crop coefficients," Agricultural Water Management, Elsevier, vol. 238(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Wang, Chu & Zhu, Kai & Bai, YanYan & Li, ChenYan & Li, Maona & Sun, Yan, 2024. "Response of stomatal conductance to plant water stress in buffalograss seed production: Observation with UAV thermal infrared imagery," Agricultural Water Management, Elsevier, vol. 292(C).
- Lili Zhou & Chenwei Nie & Tao Su & Xiaobin Xu & Yang Song & Dameng Yin & Shuaibing Liu & Yadong Liu & Yi Bai & Xiao Jia & Xiuliang Jin, 2023. "Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods," Agriculture, MDPI, vol. 13(4), pages 1-22, April.
- Aliloo, Jamileh & Abbasi, Enayat & Karamidehkordi, Esmail & Ghanbari Parmehr, Ebadat & Canavari, Maurizio, 2024. "Dos and Don'ts of using drone technology in the crop fields," Technology in Society, Elsevier, vol. 76(C).
- Wang, Jingjing & Lou, Yu & Wang, Wentao & Liu, Suyi & Zhang, Haohui & Hui, Xin & Wang, Yunling & Yan, Haijun & Maes, Wouter H., 2024. "A robust model for diagnosing water stress of winter wheat by combining UAV multispectral and thermal remote sensing," Agricultural Water Management, Elsevier, vol. 291(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Grados, D. & Reynarfaje, X. & Schrevens, E., 2020. "A methodological approach to assess canopy NDVI–based tomato dynamics under irrigation treatments," Agricultural Water Management, Elsevier, vol. 240(C).
- Wang, Jingjing & Lou, Yu & Wang, Wentao & Liu, Suyi & Zhang, Haohui & Hui, Xin & Wang, Yunling & Yan, Haijun & Maes, Wouter H., 2024. "A robust model for diagnosing water stress of winter wheat by combining UAV multispectral and thermal remote sensing," Agricultural Water Management, Elsevier, vol. 291(C).
- Nadia Belmonte & Carlo Luetto & Stefano Staulo & Paola Rizzi & Marcello Baricco, 2017. "Case Studies of Energy Storage with Fuel Cells and Batteries for Stationary and Mobile Applications," Challenges, MDPI, vol. 8(1), pages 1-15, March.
- Deng, Juntao & Pan, Shijia & Zhou, Mingu & Gao, Wen & Yan, Yuncai & Niu, Zijie & Han, Wenting, 2023. "Optimum sampling window size and vegetation index selection for low-altitude multispectral estimation of root soil moisture content for Xuxiang Kiwifruit," Agricultural Water Management, Elsevier, vol. 282(C).
- Ander Wilson & Brian J. Reich, 2014. "Confounder selection via penalized credible regions," Biometrics, The International Biometric Society, vol. 70(4), pages 852-861, December.
- Padilla-Díaz, C.M. & Rodriguez-Dominguez, C.M. & Hernandez-Santana, V. & Perez-Martin, A. & Fernandes, R.D.M. & Montero, A. & García, J.M. & Fernández, J.E., 2018. "Water status, gas exchange and crop performance in a super high density olive orchard under deficit irrigation scheduled from leaf turgor measurements," Agricultural Water Management, Elsevier, vol. 202(C), pages 241-252.
- Alfredo Valdes Ramos & Elsa N. Aguilera Gonzalez & Gloria Tobón Echeverri & Luis Samaniego Moreno & Lourdes Díaz Jiménez & Salvador Carlos Hernández, 2019. "Potential Uses of Treated Municipal Wastewater in a Semiarid Region of Mexico," Sustainability, MDPI, vol. 11(8), pages 1-23, April.
- Naijun Sha & Marina Vannucci & Mahlet G. Tadesse & Philip J. Brown & Ilaria Dragoni & Nick Davies & Tracy C. Roberts & Andrea Contestabile & Mike Salmon & Chris Buckley & Francesco Falciani, 2004. "Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage," Biometrics, The International Biometric Society, vol. 60(3), pages 812-819, September.
- Clive J Hoggart & John C Whittaker & Maria De Iorio & David J Balding, 2008. "Simultaneous Analysis of All SNPs in Genome-Wide and Re-Sequencing Association Studies," PLOS Genetics, Public Library of Science, vol. 4(7), pages 1-8, July.
- Dimitris Korobilis, 2008.
"Forecasting in vector autoregressions with many predictors,"
Advances in Econometrics, in: Bayesian Econometrics, pages 403-431,
Emerald Group Publishing Limited.
- Korobilis, Dimitris, 2008. "Forecasting in vector autoregressions with many predictors," MPRA Paper 21122, University Library of Munich, Germany.
- Luxon Nhamo & James Magidi & Adolph Nyamugama & Alistair D. Clulow & Mbulisi Sibanda & Vimbayi G. P. Chimonyo & Tafadzwanashe Mabhaudhi, 2020. "Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles," Agriculture, MDPI, vol. 10(7), pages 1-18, July.
- Hwanjo Chung & Seunghwan Wi & Byoung-Kwan Cho & Hoonsoo Lee, 2024. "Classification of Garlic ( Allium sativum L.) Crops by Fertilizer Differences Using Ground-Based Hyperspectral Imaging System," Agriculture, MDPI, vol. 14(8), pages 1-20, July.
- Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023. "Penalized Model Averaging for High Dimensional Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202302, University of Kansas, Department of Economics, revised Jan 2023.
- Romero-Trigueros, Cristina & Nortes, Pedro A. & Alarcón, Juan J. & Hunink, Johannes E. & Parra, Margarita & Contreras, Sergio & Droogers, Peter & Nicolás, Emilio, 2017. "Effects of saline reclaimed waters and deficit irrigation on Citrus physiology assessed by UAV remote sensing," Agricultural Water Management, Elsevier, vol. 183(C), pages 60-69.
- Belmonte, N. & Staulo, S. & Fiorot, S. & Luetto, C. & Rizzi, P. & Baricco, M., 2018. "Fuel cell powered octocopter for inspection of mobile cranes: Design, cost analysis and environmental impacts," Applied Energy, Elsevier, vol. 215(C), pages 556-565.
- Yang, Yandong & Hong, Weijun & Li, Shufang, 2019. "Deep ensemble learning based probabilistic load forecasting in smart grids," Energy, Elsevier, vol. 189(C).
- Simila, Timo & Tikka, Jarkko, 2007. "Input selection and shrinkage in multiresponse linear regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 406-422, September.
- Ihuoma, Samuel O. & Madramootoo, Chandra A., 2019. "Crop reflectance indices for mapping water stress in greenhouse grown bell pepper," Agricultural Water Management, Elsevier, vol. 219(C), pages 49-58.
- Davide fiaschi & Angela Parenti, 2013. "An Estimate of the Degree of Interconnectedness between European Regions: A Bayesian Model Averaging Approach," Discussion Papers 2013/171, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
- Anastasia Dimiski, 2020. "Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset," Working Papers 2004, University of Guelph, Department of Economics and Finance.
More about this item
Keywords
Unmanned aerial vehicle; Vegetation indices; Image texture; Stomatal conductance; Water stress;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:256:y:2021:i:c:s0378377421003413. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.