Journal ArticleDOI
Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities
Chuanqi Xie,Ce Yang,Yong He +2 more
TLDR
Hyperspectral imaging has the potential to be used for early detection of gray mold disease on tomato leaves and later procedure of reducing spectral dimensionality and classifying infection stages was defined as FR-KNN.About:
This article is published in Computers and Electronics in Agriculture.The article was published on 2017-04-01. It has received 79 citations till now. The article focuses on the topics: Hyperspectral imaging.read more
Citations
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Journal ArticleDOI
Plant Disease Detection and Classification by Deep Learning.
TL;DR: This review provides a comprehensive explanation of DL models used to visualize various plant diseases and some research gaps are identified from which to obtain greater transparency for detecting diseases in plants, even before their symptoms appear clearly.
Journal ArticleDOI
A review on plant high-throughput phenotyping traits using UAV-based sensors
Chuanqi Xie,Ce Yang +1 more
TL;DR: The review can be very useful for researchers to use appropriate UAV-based sensors to carry out plant phenotyping experiments, and for farmers to use this advanced technology in managing agricultural production.
Journal ArticleDOI
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades
TL;DR: It is proposed that different pathogens’ identification, biotic and abiotic stresses discrimination, plant disease early warning, and satellite-based hyperspectral technology are the primary challenges and pave the way for a targeted response.
Journal ArticleDOI
Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers
TL;DR: It is concluded that the Xception architecture trained with the Adam optimizer attained the highest validation accuracy and F1-score of 99.81% and 0.9978 respectively which is comparatively better than the previous approaches and it proves the novelty of the work.
Journal ArticleDOI
Hyperspectral Measurements Enable Pre-Symptomatic Detection and Differentiation of Contrasting Physiological Effects of Late Blight and Early Blight in Potato
Kaitlin M. Gold,Philip A. Townsend,Adam Chlus,Ittai Herrmann,John J. Couture,Eric Larson,Amanda J. Gevens +6 more
TL;DR: In-situ spectroscopy is used to detect and differentiate Phytophthora infestans and Alternaria solani on potato foliage over the course of disease development and explored non-destructive characterization of contrasting disease physiology, finding that respective patterns of spectral change can be related to these differences in underlying disease physiology.
References
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Journal ArticleDOI
Review: A review of advanced techniques for detecting plant diseases
TL;DR: In this article, the authors present a review of the currently used technologies that can be used for developing a ground-based sensor system to assist in monitoring health and diseases in plants under field conditions.
Journal ArticleDOI
Clustering-Based Hyperspectral Band Selection Using Information Measures
TL;DR: This paper presents a technique for dimensionality reduction to deal with hyperspectral images based on a hierarchical clustering structure to group bands to minimize the intracluster variance and maximize the intercluster variance.
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Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging
TL;DR: In this paper, the accuracy of the spectro-optical, photochemical reflectance index (PRI) for quantifying the disease index (DI) of yellow rust (Biotroph Puccinia striiformis) in wheat (Triticum aestivum L.), and its applicability in the detection of the disease using hyperspectral imagery.
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Potential of the biopolymer chitosan with different molecular weights to control postharvest gray mold of tomato fruit
TL;DR: The findings suggest that the effects of chitosan with different molecular weights on gray mold in tomato fruit may be associated with direct fungitoxic properties against the pathogen, and the elicitation of biochemical defense responses in fruit.
Journal ArticleDOI
Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle
Enrico Blanzieri,Farid Melgani +1 more
TL;DR: A new variant of the k-nearest neighbor (kNN) classifier based on the maximal margin principle is presented, characterized by resulting global decision boundaries of the piecewise linear type.