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초록보기

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.

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권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
(A) review of hyperspectral imaging analysis techniques for onset crop disease detection, identification and classification Awosan Elizabeth Adetutu, Yakubu Fred Bayo, Adekunle Abiodun Emmanuel, Agbo-Adediran Adewale Opeyemi p. 1-8

Vegetation type effects on nutrient status and stoichiometry of the forest floor in Southern Korea Choonsig Kim, Nam Jin Noh p. 9-14

Accuracy assessment of forest degradation detection in semantic segmentation based deep learning models with time-series satellite imagery Woo-Dam Sim, Jung-Soo Lee p. 15-23

Forest fire risk zonation in Madi Khola Watershed, Nepal Jeetendra Gautam p. 24-34

Computing the bucking rate of Japanese larch logs for timber harvesting Daesung Lee, Yonghee Lee, Ilsub Lee, Jungkee Choi p. 35-42

Alleviating effects of nitric oxide on cadmium toxicity in white poplar (Populus alba) Semsettin Kulac, Yakup Cikili, Halil Samet, Ertugrul Filiz p. 43-52

Chemotaxonomic significance of oregonin in Alnus japonica native to Baekdudaegan mountain range in Korea Hyeondu Jang, Sunmin Park, Seong Gyeom Kim, Seung Bin Bae, Hee Jeong Min, Chan Ok Lee, Hee Kyu Kim, Jin-Kyu Kim, Sun Eun Choi p. 53-63

Assessment of the effect of substrates from different wood species on the cultivation of edible mushroom Samuel Oluyinka Olaniran, Temitope Iyelomo Oluronbi, Ebenezer Adeyemi Iyiola, Olusola Olubola Olasupo p. 64-71

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권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
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