Radiometric Compensation for Occluded Crops Imaged Using High-Spatial-Resolution Unmanned Aerial Vehicle System
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Hoc Huynh Thai & Petr Silhavy & Martin Fajkus & Zdenka Prokopova & Radek Silhavy, 2022. "Propose-Specific Information Related to Prediction Level at x and Mean Magnitude of Relative Error: A Case Study of Software Effort Estimation," Mathematics, MDPI, vol. 10(24), pages 1-14, December.
- Bastiaanssen, Wim G. M. & Molden, David J. & Makin, Ian W., 2000. "Remote sensing for irrigated agriculture: examples from research and possible applications," Agricultural Water Management, Elsevier, vol. 46(2), pages 137-155, December.
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.- Bipul Neupane & Teerayut Horanont & Nguyen Duy Hung, 2019. "Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV)," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
- Anna‐Katharina Hornidge & Lisa Oberkircher & Bernhard Tischbein & Gunther Schorcht & Anik Bhaduri & Ahmad M. Manschadi, 2011. "Reconceptualizing water management in Khorezm, Uzbekistan," Natural Resources Forum, Blackwell Publishing, vol. 35(4), pages 251-268, November.
- Corbari, Chiara & Paciolla, Nicola & Rossi, Greta & Mancini, Marco, 2023. "A double two-sources energy-water balance model for improving evapotranspiration estimates and irrigation management in fruit trees fields," Agricultural Water Management, Elsevier, vol. 289(C).
- Singh, Ajay, 2016. "Managing the water resources problems of irrigated agriculture through geospatial techniques: An overview," Agricultural Water Management, Elsevier, vol. 174(C), pages 2-10.
- van Opstal, Jonna D. & Neale, Christopher M.U. & Hipps, Lawrence E., 2022. "Evaluating the adaptability of an irrigation district to seasonal water availability using a decade of remotely sensed evapotranspiration estimates," Agricultural Water Management, Elsevier, vol. 261(C).
- Martin de Santa Olalla, F. & Calera, A. & Dominguez, A., 2003. "Monitoring irrigation water use by combining Irrigation Advisory Service, and remotely sensed data with a geographic information system," Agricultural Water Management, Elsevier, vol. 61(2), pages 111-124, June.
- Bastiaanssen, W. G. M. & Chandrapala, L., 2003. "Water balance variability across Sri Lanka for assessing agricultural and environmental water use," Agricultural Water Management, Elsevier, vol. 58(2), pages 171-192, February.
- Sahaar, Shukran A. & Niemann, Jeffrey D., 2020. "Impact of regional characteristics on the estimation of root-zone soil moisture from the evaporative index or evaporative fraction," Agricultural Water Management, Elsevier, vol. 238(C).
- Corbari, Chiara & Salerno, Raffaele & Ceppi, Alessandro & Telesca, Vito & Mancini, Marco, 2019. "Smart irrigation forecast using satellite LANDSAT data and meteo-hydrological modeling," Agricultural Water Management, Elsevier, vol. 212(C), pages 283-294.
- Muhammad Usman & Talha Mahmood & Christopher Conrad & Habib Ullah Bodla, 2020. "Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region," Sustainability, MDPI, vol. 12(22), pages 1-33, November.
- Margaret Yejide Onanuga & Adebayo Oluwole Eludoyin & Ifeanyi Emmanuel Ofoezie, 2022. "Urbanization and its effects on land and water resources in Ijebuland, southwestern Nigeria," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 592-616, January.
- Karatas, Bekir S. & Akkuzu, Erhan & Unal, Halil B. & Asik, Serafettin & Avci, Musa, 2009. "Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey," Agricultural Water Management, Elsevier, vol. 96(6), pages 982-990, June.
- Yongqing Zhao & Rendong Li & Juan Qiu & Xiangdong Sun & Lu Gao & Mingquan Wu, 2019. "Prediction of Human Brucellosis in China Based on Temperature and NDVI," IJERPH, MDPI, vol. 16(21), pages 1-15, November.
- Ajaz, Ali, 2016. "Analyzing Growth-Track and Uncertainties in Asia’s Irrigated Areas," OSF Preprints mbpk2, Center for Open Science.
- Consoli, Simona & D'Urso, Guido & Toscano, Attilio, 2006. "Remote sensing to estimate ET-fluxes and the performance of an irrigation district in southern Italy," Agricultural Water Management, Elsevier, vol. 81(3), pages 295-314, March.
- Xiaoxiao Li & Man Yu & Jing Ma & Zhanbin Luo & Fu Chen & Yongjun Yang, 2018. "Identifying the Relationship between Soil Properties and Rice Growth for Improving Consolidated Land in the Yangtze River Delta, China," Sustainability, MDPI, vol. 10(9), pages 1-14, August.
- Yotsaphat Kittichotsatsawat & Varattaya Jangkrajarng & Korrakot Yaibuathet Tippayawong, 2021. "Enhancing Coffee Supply Chain towards Sustainable Growth with Big Data and Modern Agricultural Technologies," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
- Nahry, A.H. El & Ali, R.R. & Baroudy, A.A. El, 2011. "An approach for precision farming under pivot irrigation system using remote sensing and GIS techniques," Agricultural Water Management, Elsevier, vol. 98(4), pages 517-531, February.
- Yonela Mndela & Naledzani Ndou & Adolph Nyamugama, 2023. "Irrigation Scheduling for Small-Scale Crops Based on Crop Water Content Patterns Derived from UAV Multispectral Imagery," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
- Santiago Castaño & David Sanz & Juan Gómez-Alday, 2010. "Methodology for Quantifying Groundwater Abstractions for Agriculture via Remote Sensing and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(4), pages 795-814, March.
More about this item
Keywords
radiometric compensation; occluded crops; UAV systems; brightness tuning; thresholding;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:gam:jagris:v:13:y:2023:i:8:p:1598-:d:1216156. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.