Recent advances in E-monitoring of plant diseases

Mohammad‐Razdari, Ayat; Rousseau, D.; Bakhshipour, Adel; Taylor, Stephen; Poveda, Jorge; Kiani, Hassan

doi:10.1016/j.bios.2021.113953

Cited by 60 publications

(22 citation statements)

References 117 publications

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“…Other imaging modalities are commonly used to monitor plant-pathogen interactions. This includes passive or active thermography, multispectral reflectance imaging in various wavelength ranges, and coherent speckle imaging (Mohammad-Razdari et al, 2022). It would be interesting to revisit and extend the approach of this paper to The best result of lesion segmentation on pre-processed Real-Fluo-Diseased with the model trained on the Synthetic-Fluo-Diseased dataset.…”

Section: Discussionmentioning

confidence: 99%

Plant disease symptom segmentation in chlorophyll fluorescence imaging with a synthetic dataset

2022

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Despite the wide use of computer vision methods in plant health monitoring, little attention is paid to segmenting the diseased leaf area at its early stages. It can be explained by the lack of datasets of plant images with annotated disease lesions. We propose a novel methodology to generate fluorescent images of diseased plants with an automated lesion annotation. We demonstrate that a U-Net model aiming to segment disease lesions on fluorescent images of plant leaves can be efficiently trained purely by a synthetically generated dataset. The trained model showed 0.793% recall and 0.723% average precision against an empirical fluorescent test dataset. Creating and using such synthetic data can be a powerful technique to facilitate the application of deep learning methods in precision crop protection. Moreover, our method of generating synthetic fluorescent images is a way to improve the generalization ability of deep learning models.

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Section: Discussionmentioning

confidence: 99%

Plant disease symptom segmentation in chlorophyll fluorescence imaging with a synthetic dataset

2022

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“…Biotic stresses (inflicted by pathogens, animals and weeds) cause annual crop losses by 20-40% worldwide, with specific losses caused by pathogens being 10-15% ( Mohammad-Razdari et al., 2022 ). Endophytic fungi can reduce losses caused by pathogens in crops through different mechanisms of action.…”

Section: Endophytic Fungi As Biological Control Agents Against Crop P...mentioning

confidence: 99%

Editorial: Beneficial effects of fungal endophytes in major agricultural crops

et al. 2022

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Editorial on the Research TopicBeneficial effects of fungal endophytes in major agricultural crops Endophytic fungi and agricultureEndophytic microorganisms are those that can dwell within plant tissues without any external sign of infection or other harmful effects on the host plants (Burragoni and Jeon, 2021). In recent decades, the important role that both bacterial and fungal endophytes play in plant growth and development, as well as in their ability to survive in their environment, has been identified (Burragoni and Jeon, 2021). Endophytic fungi can be found colonizing any plant organ, presenting a very different distribution and diversity among plants of different species, among plants of the same species, and even among organs of the same plant (Aamir et al., 2020). In crops, endophytic fungi act through different beneficial pathways, as biofertilizers promoting plant growth, as biological control agents of pathogens and pests or as inducers of tolerance under abiotic stresses, having great importance in the development of new strategies for sustainable agriculture (Aamir et al., 2020). These benefits for crops have been studied in the papers published in this Research Topic: promotion of plant growth in tomato (Paradza et al.), cotton (Silva et al.) and wheat (Asim et al.), increased tolerance under salt stress in tritordeum and perennial ryegrass (Toghueo et al.), as biological control agents against pathogenic fungi through antibiosis and mycoparasitism (Silva et al.), or as insecticidal agents through activation of systemic plant defenses (Paradza et al.; Agbessenou et al.), among others.

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“…(2020) designed a polymer tattoo to sense the oxidative damage of fruits caused the excessive ozone exposure. In addition to this wearable plant sensor, e-monitoring devices such as electronic tongues (e-tongue), electronic nose (e-nose), and electronic eye (e-eye) have gotten a lot of interest in recent years for controlling and detecting plant pathogens ( Mohammad-Razdari et al., 2022 ).…”

Section: Agricultural Application Of Nanobiosensormentioning

confidence: 99%