2016
DOI: 10.4236/cs.2016.78112
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Monitoring the Turmeric Finger Disease and Growth Characteristics Using Sensor Based Embedded System —A Novel Method

Abstract: In this cyber era, novelty plays a prime role in the field of agriculture that majorly depends on computer-based measurements and control. Herein before, it was totally controlled and performed by the agriculturists. One of the technological innovative methods to measure and monitor the turmeric finger growth characteristics is the embedded system that is based on sensor array module such as flex sensor, temperature sensor and pH sensor. The experimental work has been designed and tested with five set of nodes… Show more

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Cited by 9 publications
(5 citation statements)
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“…[5] Image segmentation, according to the 2021 publication "On Comparison of Different Image Segmentation Techniques," is the division of image pixels into discrete zones that are either identical or as closely associated as feasible in terms of brightness, texture, or color. Numerous images processing tasks, including object detection, machine vision, image compression, and image treatment, can benefit from picture segmentation [10]. This work will offer a thorough analysis of several image segmentation methods.…”
Section: Survey Of Work Done In the Research Area And Need For More R...mentioning
confidence: 99%
“…[5] Image segmentation, according to the 2021 publication "On Comparison of Different Image Segmentation Techniques," is the division of image pixels into discrete zones that are either identical or as closely associated as feasible in terms of brightness, texture, or color. Numerous images processing tasks, including object detection, machine vision, image compression, and image treatment, can benefit from picture segmentation [10]. This work will offer a thorough analysis of several image segmentation methods.…”
Section: Survey Of Work Done In the Research Area And Need For More R...mentioning
confidence: 99%
“…The optimal decomposer and optimizer in the cloud computing infrastructure provide high performance in feature selection. Decomposition in different datasets are performed in papers [18][19][20][21][22][23][24] at cloud storage for an optimal solution.…”
Section: Related Workmentioning
confidence: 99%
“…To examine the effect of EMF radiations on the morphology of the D. Melanogaster brain, four classifiers were used to segregate it. These four classifiers were naïve Bayes [15][16][17], artificial neural network [18][19][20][21][22], support vector machine [23][24][25], and unsystematic forest.…”
Section: Segregating Open/not Open Groups Using Machine Learningmentioning
confidence: 99%