A review on diagnosis of nutrient deficiency symptoms in plant leaf image using digital image processing
S Jeyalakshmi,R. Radha +1 more
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This article is published in ICTACT Journal on Image and Video Processing.The article was published on 2017-05-01 and is currently open access. It has received 24 citations till now. The article focuses on the topics: Digital image processing.read more
Citations
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Journal ArticleDOI
A Comparative Study of Deep CNN in Forecasting and Classifying the Macronutrient Deficiencies on Development of Tomato Plant
TL;DR: In this article, the authors employed artificial neural network models to recognize, classify, and predict the nutritional deficiencies occurring in tomato plants (Solanum lycopersicum L.), and provided an analysis of two different model architectures based on convolutional neural network for classifying and predicting the nutrient deficiency symptoms.
Journal ArticleDOI
On the verge of the market - Plant factories for the automated and standardized production of biopharmaceuticals.
TL;DR: The upstream production steps of plant molecular farming by transient expression in intact plants are discussed, including seeding, plant cultivation, infiltration with Agrobacterium tumefaciens, post-infiltration incubation, and harvesting, and the costs-benefit aspects of the different cultivation systems are discussed.
Proceedings ArticleDOI
A Nutrient Deficiency Prediction Method Using Deep Learning on Development of Tomato Fruits
TL;DR: To improve the accurate prediction of the nutrient deficiency for increasing the crop production and prevent the emergence of tomato pathology caused by the lack of nutrient, Inception-ResNet v2 based-Convolution Neural Network (CNN) is applied.
Journal ArticleDOI
Measuring plant colors.
TL;DR: The present review will overview the principles of colorimetry, and will introduce colorimetric methods which can be used for scientific measurement of plant colors.
References
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Color Transform Based Approach for Disease Spot Detection on Plant Leaf
TL;DR: A comparison of the effect of CIELAB, HSI and YCbCr color space in the process of disease spot detection is done and threshold can be calculated by applying Otsu method on color component to detect the disease spot.
Leaf disease severity measurement using image processing
TL;DR: In this paper, simple threshold and triangle thresholding methods are used to segment the leaf area and lesion region area respectively, and then diseases are catcogrise by calculating the quotient of lesion area and leaf area.
Proceedings ArticleDOI
Leaf Vein Extraction Using Independent Component Analysis
TL;DR: Experimental results demonstrate that ICA is a promising technique for extracting leaf veins and edges of objects and can play an important role in automatically identifying living plants.
Color Feature Extraction of Tomato Leaf Diseases
TL;DR: Color of the image is used to extract the features of images by calculating the 1st color in this paper which can be further used with classification algorithms or content based image retrieval systems.
Journal ArticleDOI
Leaf Vein Extraction Based on Gray-scale Morphology
Xiaodong Zheng,Xiaojie Wang +1 more
TL;DR: In this article, a new method of leaf vein extraction has been proposed based on gray-scale morphology, where the color image of the plant leaf is transformed to the gray image according to the hue and intensity information.
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