Detection of pre-symptomatic rose powdery-mildew and gray-mold diseases based on thermal vision

Jafari, M.; Minaei, Saeid; Safaie, Naser

doi:10.1016/j.infrared.2017.04.023

Cited by 23 publications

(18 citation statements)

References 15 publications

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“…However, the suitability of thermal imaging in fungal diseases detection is far from negligible and scarcely applied. Fungal infections generally affect leaf structure, cuticular and stomatal conductance and, thus, leaf transpiration and water loss [116], resulting in a progressive increase in leaf temperature and allowing detection of the disease [117]. Thermal imaging has allowed the early detection of powdery mildew and grey mould in rose [118,119].…”

Section: Non-imaging and Imaging Sensor-based Methodsmentioning

confidence: 99%

Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants

Traversari

Cacini

Galieni³

et al. 2021

Sustainability

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Ornamental plant production constitutes an important sector of the horticultural industry worldwide and fungal infections, that dramatically affect the aesthetic quality of plants, can cause serious economic and crop losses. The need to reduce the use of pesticides for controlling fungal outbreaks requires the development of new sustainable strategies for pathogen control. In particular, early and accurate large-scale detection of occurring symptoms is critical to face the ambitious challenge of an effective, energy-saving, and precise disease management. Here, the new trends in digital-based detection and available tools to treat fungal infections are presented in comparison with conventional practices. Recent advances in molecular biology tools, spectroscopic and imaging technologies and fungal risk models based on microclimate trends are examined. The revised spectroscopic and imaging technologies were tested through a case study on rose plants showing important fungal diseases (i.e., spot spectroscopy, hyperspectral, multispectral, and thermal imaging, fluorescence sensors). The final aim was the examination of conventional practices and current e-tools to gain the early detection of plant diseases, the identification of timing and spacing for their proper management, reduction in crop losses through environmentally friendly and sustainable production systems. Moreover, future perspectives for enhancing the integration of all these approaches are discussed.

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Section: Non-imaging and Imaging Sensor-based Methodsmentioning

confidence: 99%

Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants

Traversari

Cacini

Galieni³

et al. 2021

Sustainability

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“…Several other works have been reported regarding the use of thermography for disease detection in plants including (i) a thermal vision system for identifying powdery-mildew and gray-mold disease in rose plants [111], where the regions of the interest in thermal images were identified by segmenting the corresponding visual images. Performance of the designed neuro-fuzzy classifiers were evaluated with the thermal images captured using an automatic imaging setup and correct estimation rates of 69% and 80% were achieved at 2 DAI; (ii) thermographic visualization of leaf response in cucumber plants infected with the soil-borne pathogen Fusarium oxysporum f. sp.…”

Section: Thermographymentioning

confidence: 99%

Sensing Methodologies in Agriculture for Monitoring Biotic Stress in Plants Due to Pathogens and Pests

Kashyap

Kumar

2021

Inventions

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Reducing agricultural losses is an effective way to sustainably increase agricultural output efficiency to meet our present and future needs for food, fiber, fodder, and fuel. Our ever-improving understanding of the ways in which plants respond to stress, biotic and abiotic, has led to the development of innovative sensing technologies for detecting crop stresses/stressors and deploying efficient measures. This article aims to present the current state of the methodologies applied in the field of agriculture towards the detection of biotic stress in crops. Key sensing methodologies for plant pathogen (or phytopathogen), as well as herbivorous insects/pests are presented, where the working principles are described, and key recent works discussed. The detection methods overviewed for phytopathogen-related stress identification include nucleic acid-based methods, immunological methods, imaging-based techniques, spectroscopic methods, phytohormone biosensing methods, monitoring methods for plant volatiles, and active remote sensing technologies. Whereas the pest-related sensing techniques include machine-vision-based methods, pest acoustic-emission sensors, and volatile organic compound-based stress monitoring methods. Additionally, Comparisons have been made between different sensing techniques as well as recently reported works, where the strengths and limitations are identified. Finally, the prospective future directions for monitoring biotic stress in crops are discussed.

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“…Earlier studies had suggested that phytopathogens can inhibit lack of water in stomata-regulated plants [56,57].Thermographic imaging can monitor the resulting infection, and the volume of water culminated can be calculated without specific temperature considerations [57]. Several research scientific groups have related plant pathogen infection to temperature changes [53,57,58,59]. For good identification of plant diseases, thermographic evaluation of plant diseases can also be scaled up (Figure 4) [60].…”

Section: Thermography In Disease Detectionmentioning

confidence: 99%

Current and Prospective Strategies on Detecting and Managing Colletotrichumfalcatum Causing Red Rot of Sugarcane

et al. 2020

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Sugarcane is an important industrial crop because it is the major source of white sugar. It is also one of the crops for the alcohol and biofuel industries. Disease-causing organisms can significantly decrease the productivity of sugarcane plants and sugar quality. Among the disease-causing organisms, Colletotrichum falcatum Went causes the most significant economic loss (5–50%) in the sugarcane production due to red rot disease. This loss results in only 31% sugar recovery. It is reported that C. falcatum can kill sugarcane plants. Currently, there is no sustainable way of preventing red rot disease from spreading in sugarcane plantations. Many popular sugarcane varieties are no longer used in sugarcane cultivation because of their susceptibility to C. falcatum. The objectives of this manuscript were to: (i) summarize existing approaches for the early detection of red rot disease and controlling techniques of red rot disease in the field and laboratory and (ii) assess red rot disease control effectiveness so as to propose better methods for mitigating the spread C. falcatum. If our proposition is adopted or practiced, it could significantly contribute to the mitigation of C. falcatum infection in the sugarcane industry. This could enable achieving sustainable cultivation of sugarcanes to guarantee the sustainability of the sugar industry in the tropics and the subtropics.

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Detection of pre-symptomatic rose powdery-mildew and gray-mold diseases based on thermal vision

Cited by 23 publications

References 15 publications

Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants

Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants

Sensing Methodologies in Agriculture for Monitoring Biotic Stress in Plants Due to Pathogens and Pests

Current and Prospective Strategies on Detecting and Managing Colletotrichumfalcatum Causing Red Rot of Sugarcane

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