Advanced methods of plant disease detection. A review

  title={Advanced methods of plant disease detection. A review},
  author={Federico Martinelli and Riccardo Scalenghe and Salvatore Davino and Stefano Panno and Giuseppe Scuderi and Paolo Ruisi and Paolo Villa and Daniela Stroppiana and Mirco Boschetti and Luiz Ricardo Goulart and Cristina E. Davis and Abhaya M. Dandekar},
  journal={Agronomy for Sustainable Development},
Plant diseases are responsible for major economic losses in the agricultural industry worldwide. [] Key Result Then, we review innovative approaches currently under development.

Nanosensors for Plant Disease Diagnosis: Current Understanding and Future Perspectives

Nanobiosensor-based technology provides a new dimension in plant diseases diagnostic systems by offering nondestructive, minimally invasive, economical, and easy-to-use systems with enhanced detection limit, sensitivity, specificity, and on-site detection of plant pathogens.

An Insight into Current Trends of Pathogen Identification in Plants

The various recent technologies in plant pathogen identification for sustainable and effective crop production, and the safeguard of the crop produce are enlightened.

Plant Viral Disease Detection: From Molecular Diagnosis to Optical Sensing Technology - A Multidisciplinary Review

Plant viral diseases result in productivity and economic losses to agriculture, necessitating accurate detection for effective control. Lab-based molecular testing is the gold standard for providing

A review on plant disease diagnosis through biosensor

  • Prittesh Patel
  • Environmental Science
    International Journal of Biosensors & Bioelectronics
  • 2021
Plant pathogen detection is recognizing microscopic organisms such as bacteria, viruses, and fungi in quick reaction settings at nurseries, natural landscapes and micropopagation stage in infected

Research advances and applications of biosensing technology for the diagnosis of pathogens in sustainable agriculture

There is an urgent need for the establishment of a reliable, fast, accurate, responsive, and cost-effective testing method for the detection of field plants at early stages of growth.

Biosensors for plant pathogen detection.

Early detection of diseases in plant tissue using spectroscopy – applications and limitations

The applications and limitations of spectroscopy techniques (visible/infrared, electrical impedance and fluorescence spectroscope) in early detection of plant disease are reviewed, with particular emphasis given to different spectral level, challenges and future outlook.

In‐field molecular diagnosis of plant pathogens: recent trends and future perspectives

The aim of this research is to review some of the promising techniques that can be applied to in-field molecular detection of plant pathogens and how these techniques can change the way farmers and pathologists are diagnosing plant diseases.



Analysis of early host responses for asymptomatic disease detection and management of specialty crops.

A strategy for developing an integrated suite of platform technologies to enable rapid, early disease detection and diagnosis of huanglongbing (HLB), the most destructive citrus disease is outlined.

Recent advances in sensing plant diseases for precision crop protection

This review outlines recent insights in the use of non-invasive optical sensors for the detection, identification and quantification of plant diseases on different scales.

Are molecular tools solving the challenges posed by detection of plant pathogenic bacteria and viruses?

Overall, molecular techniques based on different types of PCR amplification and very especially on real-time PCR are leading to high throughput, faster and more accurate detection methods for the most severe plant pathogens, with important benefits for agriculture.

Advances in molecular phytodiagnostics – new solutions for old problems

In this paper, the development and implementation of new diagnostic methods based upon novel molecular techniques is presented, with specific examples given to demonstrate how these new methods can be used to overcome some long-standing problems.

Fusion of sensor data for the detection and differentiation of plant diseases in cucumber

The results from this study confirm that each pathogen has a characteristic influence on the physiology and vitality of cucumber plants, which can be measured by a combination of non-invasive sensors.

Real-time PCR and its application for rapid plant disease diagnostics

Rapid-cycle real-time polymerase chain reaction (PCR) methods may revolutionize the manner in which plant pathogens are identified and diseases are diagnosed. As the genomics age progresses and more