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International Journal of Remote Sensing Volume 36, 2015 - Issue 11
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Articles

Detection of mosaic virus disease in cassava plants by sunlight-induced fluorescence imaging: a pilot study for proximal sensing

Sadasivan Nair RajiAtmospheric Processes Group, National Centre for Earth Science Studies, Thiruvananthapuram, IndiaView further author information
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Narayanan SubhashAtmospheric Processes Group, National Centre for Earth Science Studies, Thiruvananthapuram, India;R&D Division, Forus Health Pvt Ltd., Bangalore, IndiaCorrespondence[email protected]
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Velumani RaviDivision of Crop Production, Central Tuber Crops Research Institute, Thiruvananthapuram, IndiaView further author information
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Raju SaravananDivision of Crop Production, Central Tuber Crops Research Institute, Thiruvananthapuram, IndiaView further author information
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Changatharayil N. MohananAtmospheric Processes Group, National Centre for Earth Science Studies, Thiruvananthapuram, IndiaView further author information
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Sukumar NitaAtmospheric Processes Group, National Centre for Earth Science Studies, Thiruvananthapuram, IndiaView further author information
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Thangaraj Makesh KumarDivision of Crop Protection, Central Tuber Crops Research Institute, Thiruvananthapuram, IndiaView further author information
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Pages 2880-2897 | Received 17 Jan 2015, Accepted 18 Mar 2015, Published online: 01 Jun 2015

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Mohamad Anuar Izzuddin, Abu Seman Idris, Mohd Noor Nisfariza, Abd Aziz Nordiana, Helmi Zulhaidi Mohd Shafri & Bahrom Ezzati. (2017) The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings. International Journal of Remote Sensing 38:23, pages 6505-6527.
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Andreas Süß, Tobias Hank & Wolfram Mauser. (2016) Deriving diurnal variations in sun-induced chlorophyll- fluorescence in winter wheat canopies and maize leaves from ground-based hyperspectral measurements. International Journal of Remote Sensing 37:sup1, pages 60-77.
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Articles from other publishers (21)

Sergey V. Gudkov, Tatiana A. Matveeva, Ruslan M. Sarimov, Alexander V. Simakin, Evgenia V. Stepanova, Maksim N. Moskovskiy, Alexey S. Dorokhov & Andrey Yu. Izmailov. (2023) Optical Methods for the Detection of Plant Pathogens and Diseases (Review). AgriEngineering 5:4, pages 1789-1812.
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Ziheng Feng, Xinyao Ding, Haiyan Zhang, Li He, Jianzhao Duan, Xinming Ma, Chunjiang Zhao, Guijun Yang & Wei Feng. (2023) Spectroscopic detection of wheat yellow mosaic virus infection based on invariant shape spectral processing and machine learning. Ecological Indicators 154, pages 110750.
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Qiong Zheng, Wenjiang Huang, Qing Xia, Yingying Dong, Huichun Ye, Hao Jiang, Shuisen Chen & Shanyu Huang. (2023) Remote Sensing Monitoring of Rice Diseases and Pests from Different Data Sources: A Review. Agronomy 13:7, pages 1851.
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Padinjarepulikkiyil Sankaran Hareesh, Thulasi Raveendrannair Resmi, Madhavi N. Sheela & Thangaraj Makeshkumar. (2023) Cassava mosaic disease in South and Southeast Asia: current status and prospects. Frontiers in Sustainable Food Systems 7.
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Anton Terentev & Viktor Dolzhenko. (2023) Can Metabolomic Approaches Become a Tool for Improving Early Plant Disease Detection and Diagnosis with Modern Remote Sensing Methods? A Review. Sensors 23:12, pages 5366.
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Wijayanti Nurul Khotimah, Mohammed Bennamoun, Farid Boussaid, Lian Xu, David Edwards & Ferdous Sohel. (2023) MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens. International Journal of Applied Earth Observation and Geoinformation 118, pages 103286.
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Kaiqi Du, Xia Jing, Yelu Zeng, Qixing Ye, Bingyu Li & Jianxi Huang. (2023) An Improved Approach to Monitoring Wheat Stripe Rust with Sun-Induced Chlorophyll Fluorescence. Remote Sensing 15:3, pages 693.
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Xia Jing, Kaiqi Du, Weina Duan, Qin Zou, Tingting Zhao, Bingyu Li, Qixing Ye & Lieshen Yan. (2022) Quantifying the effects of stripe rust disease on wheat canopy spectrum based on eliminating non-physiological stresses. The Crop Journal.
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Hai Pham, Khanh Nguyen, Tran Kim Tinh, W. Genthe, Petros Lappas & Alessandro Gardi. (2022) Design of a bistatic LIDAR system and simulating the performance for early detection of rice leaf blast from unmanned aircraft. Journal of Plant Diseases and Protection 129:3, pages 675-685.
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Siyuan Li, Jiannan Jiao, Jinbo Chen & Chi Wang. (2022) A New Polarization-Based Vegetation Index to Improve the Accuracy of Vegetation Health Detection by Eliminating Specular Reflection of Vegetation. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-18.
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Xia JING, Qin ZOU, Zong-Fan BAI & Wen-Jiang HUANG. (2022) Research progress of crop diseases monitoring based on reflectance and chlorophyll fluorescence data. Acta Agronomica Sinica 47:11, pages 2067-2079.
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Siyuan Li, Jiannan Jiao & Chi Wang. (2021) Research on Polarized Multi-Spectral System and Fusion Algorithm for Remote Sensing of Vegetation Status at Night. Remote Sensing 13:17, pages 3510.
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Lei Feng, Shuangshuang Chen, Chu Zhang, Yanchao Zhang & Yong He. (2021) A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping. Computers and Electronics in Agriculture 182, pages 106033.
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Anna L. Casto, Haley Schuhl, Jose C. Tovar, Qi Wang, Rebecca S. Bart, Noah Fahlgren & Malia A. Gehan. (2021) Picturing the future of food. The Plant Phenome Journal 4:1.
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Thomas Fahey, Hai Pham, Alessandro Gardi, Roberto Sabatini, Dario Stefanelli, Ian Goodwin & David William Lamb. (2020) Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops. Sensors 21:1, pages 171.
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Alanna V. Zubler & Jeong-Yeol Yoon. (2020) Proximal Methods for Plant Stress Detection Using Optical Sensors and Machine Learning. Biosensors 10:12, pages 193.
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Xia Jing & Zongfan Bai. (2019) Remote Sensing Detection of Wheat Stripe Rust by Synergized Solar-Induced Chlorophyll Fluorescence and Differential Spectral Index. Remote Sensing Detection of Wheat Stripe Rust by Synergized Solar-Induced Chlorophyll Fluorescence and Differential Spectral Index.
María Luisa Pérez-Bueno, Mónica Pineda & Matilde Barón. (2019) Phenotyping Plant Responses to Biotic Stress by Chlorophyll Fluorescence Imaging. Frontiers in Plant Science 10.
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Nadia Shakoor, Scott Lee & Todd C Mockler. (2017) High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field. Current Opinion in Plant Biology 38, pages 184-192.
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Sadasivan Nair Raji, Geetha Nair Aparna, Changatharayil N. Mohanan & Narayanan Subhash. (2016) Proximal Remote Sensing of Herbicide and Drought Stress in Field Grown Colocasia and Sweet Potato Plants by Sunlight-Induced Chlorophyll Fluorescence Imaging. Journal of the Indian Society of Remote Sensing 45:3, pages 463-475.
Crossref
Sadasivan Nair Raji, Narayanan Subhash, Velumani Ravi, Raju Saravanan, Changatharayil N. Mohanan, Thangaraj MakeshKumar & Sukumar Nita. (2016) Detection and Classification of Mosaic Virus Disease in Cassava Plants by Proximal Sensing of Photochemical Reflectance Index. Journal of the Indian Society of Remote Sensing 44:6, pages 875-883.
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