Approximation of fruit ripening quality index for IoT based assistive e-healthcare

Ray, Partha Pratim; Dash, Dinesh; De, Debashis

doi:10.1007/s00542-018-4238-y

Cited by 5 publications

(1 citation statement)

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“…The Internet of things (IoT) helps to acquire information from fruit detection terminals in orchards, and evaluate the fruit maturity. Meanwhile, image recognition can determine the size and position fruits [10][11][12][13][14]. The advancement of the two techniques makes the monitoring of fruit growth and insect attack more intelligent and automatic in modern agriculture.…”

Section: Introductionmentioning

confidence: 99%

Image Recognition of Modern Agricultural Fruit Maturity Based on Internet of Things

Chen¹,

Tang²,

Xi³

et al. 2021

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The accurate judgement of fruit maturity is significant for modern agriculture. At present, few scholars have monitored and recognized fruit maturity based on the Internet of things (IoT) and image recognition technology. Therefore, this paper explores the image recognition of fruit maturity in the context of agricultural Internet of things (IoT). Firstly, the single shot multi-box detection (SSD) algorithm was improved for fruit recognition and positioning, and used to determine the size and position the fruits to be recognized. Next, an image fusion algorithm was designed based on improved Laplacian pyramid, which effectively compresses the large fruit monitoring images shot in the same scene. The proposed algorithm was proved feasible and effective through experiments.

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