ReviewBiosensors2015
Current and Prospective Methods for Plant Disease Detection.
Review in Biosensors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
116 citing papers in PubMed, 2 syntheses or guidelines pooled it, 689 citations in OpenAlex.
- A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection.Sensors (Basel, Switzerland) · 2024Pooled it
- Pooled it
- Beyond the Visual Spectrum: From RGB-Based Learning to Hyperspectral Intelligence for Plant Disease Detection-Challenges and Opportunities.Sensors (Basel, Switzerland) · 2026Review
- Capacitive field-effect biosensors loaded with intact plant virus particles: modelling and experimental data.Analytical and bioanalytical chemistry · 2026Article
- Eco-friendly managing of root rot and wilt diseases in marjoram plants by chitosan-copper nanoparticles: enhancing plant immunity and stimulation of resistance genes.Scientific reports · 2026Article
- An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction.Scientific reports · 2026Article
- Applications of nanoparticles in plant disease identification and control for sustainable crop production.Discover nano · 2026Review
- Comparing Proton Transfer Reaction (PTR) and Adduct Ionization Mechanism (AIM) for the Study of Volatile Organic Compounds.Molecules (Basel, Switzerland) · 2026Article
- A multiplex PCR-Cas12a-lateral flow platform for pooled screening of four major tobacco pathogen groups.Frontiers in plant science · 2026Article
- Aptamers as emerging tools for plant disease management: From biosensing to active modulation.iScience · 2025Review
- Advancing Wearable VOC Sensors: A Roadmap for Sustainable Agriculture and Real-Time Plant Health Monitoring.Chem & bio engineering · 2025Review
- A DNA Adsorption-Based Biosensor for Rapid Detection of Ratoon Stunting Disease in Sugarcane.Biosensors · 2025Article
- An efficient plant disease detection using transfer learning approach.Scientific reports · 2025Article
- Bioluminescent imaging of an oomycete pathogen empowers chemical selections and rational fungicide applications.Plant methods · 2025Article
- Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging.Plant phenomics (Washington, D.C.) · 2025Article
- Nanomaterial-Based Biosensors for the Detection of COVID-19.Indian journal of microbiology · 2025Article
- 3D-CNN detection of systemic symptoms induced by different Potexvirus infections in four Nicotiana benthamiana genotypes using leaf hyperspectral imaging.Plant methods · 2025Article
- Comparative evaluation of various DNA extraction methods and analysis of DNA degradation levels in commercially marketed Chestnut rose juices and beverages.BMC biotechnology · 2025Article
- Machine learning-enabled UAV hyperspectral identification of tomato spotted wilt virus in tobacco.Frontiers in plant science · 2025Article
- Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops.Scientific reports · 2024Article
56 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food losses due to crop infections from pathogens such as bacteria, viruses and fungi are persistent issues in agriculture for centuries across the globe. In order to minimize the disease induced damage in crops during growth, harvest and postharvest processing, as well as to maximize productivity and ensure agricultural sustainability, advanced disease detection and prevention in crops are imperative. This paper reviews the direct and indirect disease identification methods currently used in agriculture. Laboratory-based techniques such as polymerase chain reaction (PCR), immunofluorescence (IF), fluorescence in-situ hybridization (FISH), enzyme-linked immunosorbent assay (ELISA), flow cytometry (FCM) and gas chromatography-mass spectrometry (GC-MS) are some of the direct detection methods. Indirect methods include thermography, fluorescence imaging and hyperspectral techniques. Finally, the review also provides a comprehensive overview of biosensors based on highly selective bio-recognition elements such as enzyme, antibody, DNA/RNA and bacteriophage as a new tool for the early identification of crop diseases.
Indexed as
Identifiers
What OpenQuestion holds
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.