Earticle

초록

영어

Recently, intensive research has been conducted to develop innovative methods for diagnosing plant diseases based on hyperspectral technologies. Hyperspectral analysis is a new subject that combines optical spectroscopy and image analysis methods, which makes it possible to simultaneously evaluate both physiological and morphological parameters. Among the physiological and morphological parameters are classifying healthy and diseased plants, assessing the severity of the disease, differentiating the types of pathogens, and identifying the symptoms of biotic stresses at early stages, including during the incubation period, when the symptoms are not visible to the human eye. Plant diseases cause significant economic losses in agriculture around the world as the symptoms of diseases usually appear when the plants are infected severely. Early detection, quantification, and identification of plant diseases are crucial for the targeted application of plant protection measures in crop production. Hence, this can be done by possible applications of hyperspectral sensors and platforms on different scales for disease diagnosis. Further, the main areas of application of hyperspectral sensors in the diagnosis of plant diseases are considered, such as detection, differentiation, and identification of diseases, estimation of disease severity, and phenotyping of disease resistance of genotypes. This review provides a deeper understanding, of basic principles and implementation of hyperspectral sensors that can measure pathogen-induced changes in plant physiology. Hence, it brings together critically assessed reports and evaluations of researchers who have adopted the use of this application. This review concluded with an overview that hyperspectral sensors, as a non-invasive system of measurement can be adopted in early detection, identification, and possible solutions to farmers as it would empower prior intervention to help moderate against decrease in yield and/or total crop loss.

목차

Abstract
Introduction
Crop Plant Disease Pathogens
Effects of disease pathogens
Crop reaction to disease incidence
Hyperspectral Sensor Imaging
Basic principle of hyperspectral sensors
Identification of relevant literature reviewed for plant disease detection
Limitations
Conclusion
References

키워드

저자

• Awosan Elizabeth Adetutu [ Multipurpose Tree Species Improvement and Multiplication Unit, Forestry Research Institute of Nigeria, Ibadan 200109, Nigeria ] Corresponding Author
• Yakubu Fred Bayo [ Multipurpose Tree Species Improvement and Multiplication Unit, Forestry Research Institute of Nigeria, Ibadan 200109, Nigeria ]
• Adekunle Abiodun Emmanuel [ Department of Biotechnology, Forestry Research Institute of Nigeria, Ibadan 200109, Nigeria ]
• Agbo-Adediran Adewale Opeyemi [ Forestry Technology, Federal College of Forestry, Ibadan 200109, Nigeria ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Journal of Forest and Environmental Science [산림과학연구]

• 간기

  계간

• pISSN

  2288-9744

• eISSN

  2288-9752

• 수록기간

  1981~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 526 DDC 634