Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging
Olive leaf spot (OLS), caused by <i>Fusicladium oleagineum</i>, is a significant disease affecting olive orchards, leading to reduced yields and compromising olive tree health. Early and accurate detection of this disease is critical for effective management. This study presents a compre...
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2025-01-01
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| author | Hajar Hamzaoui Ilyass Maafa Hasnae Choukri Ahmed El Bakkali Salma El Iraqui El Houssaini Rachid Razouk Aziz Aziz Said Louahlia Khaoula Habbadi |
| author_facet | Hajar Hamzaoui Ilyass Maafa Hasnae Choukri Ahmed El Bakkali Salma El Iraqui El Houssaini Rachid Razouk Aziz Aziz Said Louahlia Khaoula Habbadi |
| author_sort | Hajar Hamzaoui |
| collection | DOAJ |
| description | Olive leaf spot (OLS), caused by <i>Fusicladium oleagineum</i>, is a significant disease affecting olive orchards, leading to reduced yields and compromising olive tree health. Early and accurate detection of this disease is critical for effective management. This study presents a comprehensive assessment of OLS disease progression in olive orchards by integrating agronomic measurements and multispectral imaging techniques. Key disease parameters—incidence, severity, diseased leaf area, and disease index—were systematically monitored from March to October, revealing peak values of 45% incidence in April and 35% severity in May. Multispectral drone imagery, using sensors for NIR, Red, Green, and Red Edge spectral bands, enabled the calculation of vegetation indices. Indices incorporating Red Edge and near-infrared bands, such as Red Edge and SR705-750, exhibited the strongest correlations with disease severity (correlation coefficients of 0.72 and 0.68, respectively). This combined approach highlights the potential of remote sensing for early disease detection and supports precision agriculture practices by facilitating targeted interventions and optimized orchard management. The findings underscore the effectiveness of integrating a traditional agronomic assessment with advanced spectral analysis to improve OLS disease surveillance and promote sustainable olive cultivation. |
| format | Article |
| id | doaj-art-93b05ad5a9974f799d893c8779952dc1 |
| institution | Kabale University |
| issn | 2311-7524 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Horticulturae |
| spelling | doaj-art-93b05ad5a9974f799d893c8779952dc12025-01-24T13:34:35ZengMDPI AGHorticulturae2311-75242025-01-011114610.3390/horticulturae11010046Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral ImagingHajar Hamzaoui0Ilyass Maafa1Hasnae Choukri2Ahmed El Bakkali3Salma El Iraqui El Houssaini4Rachid Razouk5Aziz Aziz6Said Louahlia7Khaoula Habbadi8Phytobacteriolgy and Biological Control Laboratory, Regional Center of Agricultural Research of Meknes, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principal, Rabat 10090, MoroccoInternational Center for Agricultural Research in the Dry Areas (ICARDA), Agdal, Rabat 10080, MoroccoInternational Center for Agricultural Research in the Dry Areas (ICARDA), Agdal, Rabat 10080, MoroccoPhytobacteriolgy and Biological Control Laboratory, Regional Center of Agricultural Research of Meknes, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principal, Rabat 10090, MoroccoPhytobacteriolgy and Biological Control Laboratory, Regional Center of Agricultural Research of Meknes, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principal, Rabat 10090, MoroccoPhytobacteriolgy and Biological Control Laboratory, Regional Center of Agricultural Research of Meknes, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principal, Rabat 10090, MoroccoResearch Unit “Induced Resistance and Plant Bioprotection”, RIBP-USC INRAe 1488, University of Reims Champagne-Ardenne, 51100 Reims, FranceNatural Resources and Environmental Laboratory, Taza Polydisciplinary Faculty, Sidi Mohamed Ben Abdellah University, Fez 30000, MoroccoPhytobacteriolgy and Biological Control Laboratory, Regional Center of Agricultural Research of Meknes, National Institute of Agricultural Research, Avenue Ennasr, BP 415 Rabat Principal, Rabat 10090, MoroccoOlive leaf spot (OLS), caused by <i>Fusicladium oleagineum</i>, is a significant disease affecting olive orchards, leading to reduced yields and compromising olive tree health. Early and accurate detection of this disease is critical for effective management. This study presents a comprehensive assessment of OLS disease progression in olive orchards by integrating agronomic measurements and multispectral imaging techniques. Key disease parameters—incidence, severity, diseased leaf area, and disease index—were systematically monitored from March to October, revealing peak values of 45% incidence in April and 35% severity in May. Multispectral drone imagery, using sensors for NIR, Red, Green, and Red Edge spectral bands, enabled the calculation of vegetation indices. Indices incorporating Red Edge and near-infrared bands, such as Red Edge and SR705-750, exhibited the strongest correlations with disease severity (correlation coefficients of 0.72 and 0.68, respectively). This combined approach highlights the potential of remote sensing for early disease detection and supports precision agriculture practices by facilitating targeted interventions and optimized orchard management. The findings underscore the effectiveness of integrating a traditional agronomic assessment with advanced spectral analysis to improve OLS disease surveillance and promote sustainable olive cultivation.https://www.mdpi.com/2311-7524/11/1/46olive leaf spot<i>Fusicladium oleagineum</i>multispectral imagingvegetation indicesdisease incidenceprecision agriculture |
| spellingShingle | Hajar Hamzaoui Ilyass Maafa Hasnae Choukri Ahmed El Bakkali Salma El Iraqui El Houssaini Rachid Razouk Aziz Aziz Said Louahlia Khaoula Habbadi Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging Horticulturae olive leaf spot <i>Fusicladium oleagineum</i> multispectral imaging vegetation indices disease incidence precision agriculture |
| title | Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging |
| title_full | Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging |
| title_fullStr | Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging |
| title_full_unstemmed | Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging |
| title_short | Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging |
| title_sort | assessment of peacock spot disease i fusicladium oleagineum i in olive orchards through agronomic approaches and uav based multispectral imaging |
| topic | olive leaf spot <i>Fusicladium oleagineum</i> multispectral imaging vegetation indices disease incidence precision agriculture |
| url | https://www.mdpi.com/2311-7524/11/1/46 |
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