Assessing Wheat Yellow Rust Disease through Hyperspectral Remote Sensing

20 citations as recorded by crossref.

1. Classification of yellow rust of wheat from Sentinel-2 satellite imagery using deep learning artificial neural network H. Singh et al. 10.1007/s12517-023-11750-1
2. Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study R. Whetton et al. 10.1016/j.biosystemseng.2017.11.008
3. Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 2: On-line field measurement R. Whetton et al. 10.1016/j.biosystemseng.2018.01.004
4. Early Onset Yellow Rust Detection Guided by Remote Sensing Indices V. Thirugnana Sambandham et al. 10.3390/agriculture12081206
5. Effects of feeding injury from Popillia japonica (Coleoptera: Scarabaeidae) on soybean spectral reflectance and yield A. Ribeiro et al. 10.3389/finsc.2022.1006092
6. Determination of the susceptible areas to wheat rust outbreak using threshold values and satellite images p. hasanteimouri & m. mobasheri 10.52547/jgst.12.2.47
7. Linking physiological parameters with visible/near-infrared leaf reflectance in the incubation period of vascular wilt disease J. Marín-Ortiz et al. 10.1016/j.sjbs.2019.05.007
8. Development of Methods for Remote Monitoring of Leaf Diseases in Wheat Agrocenoses I. Sereda et al. 10.3390/plants12183223
9. Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing G. Krishna et al. 10.1016/j.agwat.2018.08.029
10. Identification of Spectral Bands to Discriminate Wheat Spot Blotch using in Situ Hyperspectral Data N. Chattopadhyay et al. 10.1007/s12524-023-01673-5
11. In-field proximal sensing of septoria tritici blotch, stripe rust and brown rust in winter wheat by means of reflectance and textural features from multispectral imagery R. Bebronne et al. 10.1016/j.biosystemseng.2020.06.011
12. Next generation phenotyping for developing climate resilient rice varieties R. Sahoo et al. 10.35709/ory.2019.56.s.2
13. Early detection of stripe rust infection in wheat using light-induced fluorescence spectroscopy B. Atta et al. 10.1007/s43630-022-00303-2
14. Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data O. Elsherbiny et al. 10.3390/agriculture11010051
15. Detection of Leek Rust Disease under Field Conditions Using Hyperspectral Proximal Sensing and Machine Learning S. Appeltans et al. 10.3390/rs13071341
16. Evaluation of Stem Rust Disease in Wheat Fields by Drone Hyperspectral Imaging J. Abdulridha et al. 10.3390/s23084154
17. Non-invasive diagnosis of wheat stripe rust progression using hyperspectral reflectance J. Cross et al. 10.3389/fpls.2024.1429879
18. Wheat Yellow Rust Disease Infection Type Classification Using Texture Features U. Shafi et al. 10.3390/s22010146
19. Next generation phenotyping for developing climate resilient rice varieties R. Sahoo et al. 10.35709/ory.2019.56.spl.2
20. Detection of Aphid-Infested Mustard Crop Using Ground Spectroscopy K. Shukla et al. 10.3390/rs16010047