Detection of fusariosis on black pepper plants using multispectral sensor

[1]  Yu Jin,et al.  Recognition of Banana Fusarium Wilt Based on UAV Remote Sensing , 2020, Remote. Sens..

[2]  B. Boiarskii.  Comparison of NDVI and NDRE Indices to Detect Differences in Vegetation and Chlorophyll Content , 2019, JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES.

[3]  C. Furlani,et al.  CORRELATIONS AMONG VEGETATION INDICES AND PEANUT TRAITS DURING DIFFERENT CROP DEVELOPMENT STAGES , 2019, Engenharia Agrícola.

[4]  Michael. Horswell,et al.  Assessing Vegetation Response to Soil Moisture Fluctuation under Extreme Drought Using Sentinel-2 , 2018, Water.

[5]  R. Anzanello,et al.  Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil , 2017 .

[6]  Sreekala G. Bajwa,et al.  Soybean Disease Monitoring with Leaf Reflectance , 2017, Remote. Sens..

[7]  D. Casaroli,et al.  Sugarcane leaf area estimate obtained from the corrected Normalized Difference Vegetation Index (NDVI) , 2016 .

[8]  F. Rocha,et al.  Caracterização de Fusarium solani f. sp. piperis, produção de fitotoxina e incidência da fusariose no norte de Minas Gerais , 2016 .

[9]  Wenjiang Huang,et al.  Crop Disease and Pest Monitoring by Remote Sensing , 2012 .

[10]  Marcelo Barreto da Silva,et al.  PIMENTA-DO-REINO: IMPORTÂNCIA DA DEFESA FITOSSANITÁRIA PARA A SUSTENTABILIDADE DA ATIVIDADE NA REGIÃO NORTE DO ESPÍRITO SANTO , 2011 .

[11]  Minzan Li,et al.  Detection of soybean rust using a multispectral image sensor , 2009 .