ArticleFrontiers in plant science2019
Detection of Gray Mold Leaf Infections Prior to Visual Symptom Appearance Using a Five-Band Multispectral Sensor.
Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 57 citations in OpenAlex.
- Spectral characterization and severity assessment of rice brown planthopper damage using multivariate models.Scientific reports · 2026Article
- Plant stress detection using multimodal imaging and machine learning: from leaf spectra to smartphone applications.Frontiers in plant science · 2025Article
- Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease.Scientific reports · 2024Article
- Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples.Entropy (Basel, Switzerland) · 2023Article
- Article
- Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models.Frontiers in plant science · 2023Article
- Phenological stage and vegetation index for predicting corn yield under rainfed environments.Frontiers in plant science · 2023Article
- Constitutive Defense Mechanisms Have a Major Role in the Resistance of Woodland Strawberry Leaves AgainstFrontiers in plant science · 2022Article
- A Hyperspectral Data 3D Convolutional Neural Network Classification Model for Diagnosis of Gray Mold Disease in Strawberry Leaves.Frontiers in plant science · 2022Article
- Quantification of gray mold infection in lettuce using a bispectral imaging system under laboratory conditions.Plant direct · 2021Article
- A Novel Computational Framework for Precision Diagnosis and Subtype Discovery of Plant With Lesion.Frontiers in plant science · 2021Article
- Proximal Methods for Plant Stress Detection Using Optical Sensors and Machine Learning.Biosensors · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fungal leaf diseases cause economically important damage to crop plants. Protective treatments help producers to secure good quality crops. In contrast, curative treatments based on visually detectable symptoms are often riskier and less effective because diseased crop plants may develop disease symptoms too late for curative treatments. Therefore, early disease detection prior symptom development would allow an earlier, and therefore more effective, curative management of fungal diseases. Using a five-lens multispectral imager, spectral reflectance of green, blue, red, near infrared (NIR, 840 nm), and rededge (RE, 720 nm) was recorded in time-course experiments of detached tomato leaves inoculated with the fungus
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.