ReviewPlant methods2022
Sensor-based phenotyping of above-ground plant-pathogen interactions.
Review in Plant methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Attention-Enhanced YOLOv11 for Early Detection of Fungal-Induced Forest Tree Decline.Plants (Basel, Switzerland) · 2026Article
- Multimodal Deep Learning and Foundation Models for Early Detection and Forecasting of Plant Diseases.Plants (Basel, Switzerland) · 2026Review
- DeepTYLCV: An interpretable and experimentally validated AI model for predicting virulence of different tomato yellow leaf curl virus strains.Plant communications · 2026Article
- Studies on the Differentiation of Transient ChlorophyllPlants (Basel, Switzerland) · 2025Article
- Stomata-targeted nanocarriers enhance plant defense against pathogen colonization.Nature communications · 2025Article
- Viral Challenges in Wheat: Comprehensive Diagnosis and Innovative Management Approaches.Current microbiology · 2025Review
- Revisiting the Role of Sensors for Shaping Plant Research: Applications and Future Perspectives.Sensors (Basel, Switzerland) · 2024Review
- High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives againstPlant phenomics (Washington, D.C.) · 2024Article
- Comparison of the Efficiency of Hyperspectral and Pulse Amplitude Modulation Imaging Methods in Pre-Symptomatic Virus Detection in Tobacco Plants.Plants (Basel, Switzerland) · 2023Article
- Climate change impacts on plant pathogens, food security and paths forward.Nature reviews. Microbiology · 2023Review
- An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture.Biology · 2023Review
- Current and emerging trends in techniques for plant pathogen detection.Frontiers in plant science · 2023Review
- Comparing CNNs and PLSr for estimating wheat organs biophysical variables using proximal sensing.Frontiers in plant science · 2023Article
- Metabolic pathway genes for editing to enhance multiple disease resistance in plants.Journal of plant research · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Plant pathogens cause yield losses in crops worldwide. Breeding for improved disease resistance and management by precision agriculture are two approaches to limit such yield losses. Both rely on detecting and quantifying signs and symptoms of plant disease. To achieve this, the field of plant phenotyping makes use of non-invasive sensor technology. Compared to invasive methods, this can offer improved throughput and allow for repeated measurements on living plants. Abiotic stress responses and yield components have been successfully measured with phenotyping technologies, whereas phenotyping methods for biotic stresses are less developed, despite the relevance of plant disease in crop production. The interactions between plants and pathogens can lead to a variety of signs (when the pathogen itself can be detected) and diverse symptoms (detectable responses of the plant). Here, we review the strengths and weaknesses of a broad range of sensor technologies that are being used for sensing of signs and symptoms on plant shoots, including monochrome, RGB, hyperspectral, fluorescence, chlorophyll fluorescence and thermal sensors, as well as Raman spectroscopy, X-ray computed tomography, and optical coherence tomography. We argue that choosing and combining appropriate sensors for each plant-pathosystem and measuring with sufficient spatial resolution can enable specific and accurate measurements of above-ground signs and symptoms of plant disease.
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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.