Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm

Orchard, Marcos E.; Munoz-Poblete, Carlos; Huircan, Juan Ignacio; Galeas, Patricio; Rozas, Heraldo

doi:10.3390/s19204421

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…For this reason, this paper takes the possible candidate words as nodes and the probabilities of the word occurrence as the weights of edges to construct a directed segmentation graph. The Viterbi algorithm [ 32 ] is employed to find the path with the largest weight as the final word segmentation result.…”

Section: Methodsmentioning

confidence: 99%

iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength

Zhang

2021

IJMS

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As critical components of DNA, enhancers can efficiently and specifically manipulate the spatial and temporal regulation of gene transcription. Malfunction or dysregulation of enhancers is implicated in a slew of human pathology. Therefore, identifying enhancers and their strength may provide insights into the molecular mechanisms of gene transcription and facilitate the discovery of candidate drug targets. In this paper, a new enhancer and its strength predictor, iEnhancer-GAN, is proposed based on a deep learning framework in combination with the word embedding and sequence generative adversarial net (Seq-GAN). Considering the relatively small training dataset, the Seq-GAN is designed to generate artificial sequences. Given that each functional element in DNA sequences is analogous to a “word” in linguistics, the word segmentation methods are proposed to divide DNA sequences into “words”, and the skip-gram model is employed to transform the “words” into digital vectors. In view of the powerful ability to extract high-level abstraction features, a convolutional neural network (CNN) architecture is constructed to perform the identification tasks, and the word vectors of DNA sequences are vertically concatenated to form the embedding matrices as the input of the CNN. Experimental results demonstrate the effectiveness of the Seq-GAN to expand the training dataset, the possibility of applying word segmentation methods to extract “words” from DNA sequences, the feasibility of implementing the skip-gram model to encode DNA sequences, and the powerful prediction ability of the CNN. Compared with other state-of-the-art methods on the training dataset and independent test dataset, the proposed method achieves a significantly improved overall performance. It is anticipated that the proposed method has a certain promotion effect on enhancer related fields.

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Section: Methodsmentioning

confidence: 99%

iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength

Zhang

2021

IJMS

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“…Fomentar, desde el Estado, los modelos de gestión asociativos, de pequeña escala, territoriales, con base en los recolectores y personas que poseen los conocimientos tradicionales. Los bosques y los árboles brindan contribuciones decisivas tanto a las personas como al planeta al fortalecer los medios de vida, suministrar aire y agua limpia, alimentos, conservar la biodiversidad y responder al cambio climático (Engels & Thormann, 2020;Miina, Pukkala, & Kurttila, 2016;Orchard, Munoz-Poblete, Huircan, Galeas, & Rozas, 2019). Si bien se ha avanzado en el desarrollo agronómico y cultivo comercial de la murta, hoy Chile se enfrenta al desafío de aumentar sus áreas de producción y abordar un posicionamiento internacional a través del marketing, de modo de hacer frente a la competencia de países como Australia y Nueva Zelanda, quienes ya están incorporando la murta como producto premium en el mercado gourmet (Barrios & Cruzat, 2009;Chile & Adimark, 2014).…”

Section: Retos Actuales Y Futurosunclassified

The murta (Ugni molinae) and its beneficial health properties: Areview

et al. 2021

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Currently there is a great demand for food products containing functional properties and/or bioactive compounds. One of the fruits that has been widely studied is the murta (Ugni molinae), which appears to contain various beneficial health properties. This review compiles scientific information on the functional and beneficial properties of murta for human health, such as the main components associated with anti-inflammatory activity, antimicrobial activity, antioxidant activity, nutritional composition, other uses of murta, economic aspects, and current and future challenges of murta, all based on updated scientific work.

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“…Today, berry picking is one of the most time-consuming, tedious and economically costly operations. Up to 60-70% of all production costs are accounted for with the manual harvesting, so there is a fairly clear trend to intensify the development of red currant cultivars suitable for mechanised harvesting (Huffman 2012;Aliasgarian et al 2013;Panfilova, Golyaeva 2017;Orchard et al 2019). The design of berry harvesters makes it possible to significantly increase the profitability of a berry crop production, i.e., to reduce the manual labour costs by 10-15 times, and to reduce the direct operating costs.…”

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confidence: 99%

Physical and mechanical properties of berries and biological features of red currant growth for mechanized harvesting

Panfilova¹,

Kalinina²,

Golyaeva³

et al. 2020

Res. Agric. Eng.

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The physical and mechanical parameters of berries and the morphometric features of the structure of the bush growth habit are important criteria in predicting the use of berry harvesting equipment. In this research, six red currant cultivars have been studied. The berry separation force, the crushing force, and the strength of attachment of the berries to the stalk were assigned to the physical and mechanical parameters and were determined using the "PLODTEST-1" and "Dina-2" devices (Russia). For the optimal operation of the berry harvester, the crushing force of the berries must be more than 2 N, the berry separation force must be in the range of 0.5–1.5 N. A high correlation between the separation and crushing forces was determined (R = 0.71). During the period of technical maturity, the strength of the attachment of the berries in the raceme was more than 0.5 N and, by the end of maturation, this indicator decreased. Most of the studied cultivars have a compact, optimal bush volume. The red currant cultivars Niva, Asya and Vika are promising for mechanised harvesting.

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Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm

Cited by 4 publications

References 19 publications

iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength

iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength

The murta (Ugni molinae) and its beneficial health properties: Areview

Physical and mechanical properties of berries and biological features of red currant growth for mechanized harvesting

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