Dynamic Optimization Using Neural Networks and Genetic Algorithms for Tomato Cool Storage to Minimize Water Loss

Morimoto, Takeshi; Tu, Kang; Hatou, Kenji; Hashimoto, Y.

doi:10.13031/2013.13938

Cited by 27 publications

(15 citation statements)

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“…A heat stress application technique that can maintain the freshness of the fruit during long term storage has been developed in recent years 5,19,20,23 . It has been reported that applying heat stress of 40-50ºC for 12-14 h at the first stage of the storage process could reduce the water loss of the fruit during storage [21][22][23] .…”

Section: Suggestions For Improvementmentioning

confidence: 99%

Understanding Perceptions Regarding Availability, Quality, Status and Methods Used in Storing Fruits and Vegetables in Pakistan^|^prime;s Dera Ismail Khan District

Baloch

Morimoto

Hatou

et al. 2006

JARQ

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This paper presents the results of a survey on the situation of farmers, their problems and feasibility of heat stress techniques during storage of fruits and vegetables in Pakistan. In addition, consumer perception was also surveyed regarding availability and quality of stored fruits and vegetables. The survey, which was conducted at Dera Ismail Khan District of Pakistan's North West Frontier Province during 2004, revealed that most of the farmers sell all their produce in the market just after harvest. This might be either due to the unavailability of storage facilities or the high cost to store low and medium value fruits/vegetables. High electricity costs and frequent power cuts further raised the storage prices. However, among different methods practiced locally, sun drying was the most popular method. Regarding consumer perception, the majority were not satisfied about availability of fruits and vegetables in the market all the year round. Lack of storage facilities, damages that occurred during transportation, improper packaging, the role of middlemen, and huge influx of produce in a short time were the major reasons given for reducing availability of fruits and vegetables to consumers on the one hand and lowering returns to growers on the other. The growers demanded subsidized governmental storage facilities to store their agricultural commodities.

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Section: Suggestions For Improvementmentioning

confidence: 99%

Understanding Perceptions Regarding Availability, Quality, Status and Methods Used in Storing Fruits and Vegetables in Pakistan^|^prime;s Dera Ismail Khan District

Baloch

Morimoto

Hatou

et al. 2006

JARQ

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“…Plant factories are advanced growing systems proposed for agricultural production. Plant factories provide an artificially controlled environment, including the control of temperature, humidity, light, carbon dioxide, cultivation solution, and water supply [1,2]. Multi-layer vertical growing systems are installed in plant factories in order to save growing space in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Food-Energy Interactive Tradeoff Analysis of Sustainable Urban Plant Factory Production Systems

Huang

Chen

et al. 2018

Sustainability

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Abstract:This research aims to analyze the food-energy interactive nexus of sustainable urban plant factory systems. Plant factory systems grow agricultural products within artificially controlled growing environment and multi-layer vertical growing systems. The system controls the supply of light, temperature, humidity, nutrition, water, and carbon dioxide for growing plants. Plant factories are able to produce consistent and high-quality agricultural products within less production space for urban areas. The production systems use less labor, pesticide, water, and nutrition. However, food production of plant factories has many challenges including higher energy demand, energy costs, and installation costs of artificially controlled technologies. In the research, stochastic optimization model and linear complementarity models are formulated to conduct optimal and equilibrium food-energy analysis of plant factory production. A case study of plant factories in the Taiwanese market is presented.

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“…Another method for constructing a dynamic model is system identification that deals with unknown processes. The identification methods have been applied to plant production systems (Morimoto et al, 1996;2003;Morimoto and Hashimoto, 2000). It is possible to adapt the time-variation of the physiological status of a plant if the identification procedure is repeated periodically as the plant grows.…”

Section: Introductionmentioning

confidence: 99%

“…They are powerful tools for identifying complex systems characterized by non-linearity because they can acquire such nonlinear characteristics using their own high learning capabilities (Rumelhart et al, 1986). In a plant production system, therefore, artificial neural networks have been widely applied to identify the physiological responses of plant (Morimoto et al, 1996;2003;Qiao et al, 2010;Hatzig et al, 2015;Ghamarnia and Jalili, 2015).…”

Section: Introductionmentioning

confidence: 99%

Identifying and Modelling the Dynamic Response of Leaf Water Content to Water Temperature in Hydroponic Tomato Plant

Yumeina

Morimoto

2017

Environmental Control in Biology

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In this paper, we identified and modelled the short-term response of leaf water content to water temperature in hydroponic tomato plants using a neural network. Leaf water content was estimated from leaf thickness using an eddy current-type displacement sensor. Dynamic changes in the leaf water content of the tomato plants, as affected by water temperatures, was identified and modelled using a neural network. A three-layered neural network with optimal system order and hidden neuron number allowed nonlinearity of this system to be successfully identified. The estimated responses obtained from model simulation were correlated closely with the observed responses. Leaf water content increased with water temperature up to 35°C in a short period of several hours. At a water temperature above 35°C, however, leaf water content decreased with increasing water temperature. Leaf water content, including root water uptake, of tomato plants is significantly suppressed by high water temperature. The relationship between water temperature and leaf water content over a short-term of several hours is represented by a hill-shaped curve (nonlinear curve) and reaches maximum value when the water temperature is about 35°C. These dynamic and static relationships between water temperature and leaf water content were successfully confirmed from model simulation.

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Dynamic Optimization Using Neural Networks and Genetic Algorithms for Tomato Cool Storage to Minimize Water Loss

Cited by 27 publications

References 0 publications

Understanding Perceptions Regarding Availability, Quality, Status and Methods Used in Storing Fruits and Vegetables in Pakistan^|^prime;s Dera Ismail Khan District

Understanding Perceptions Regarding Availability, Quality, Status and Methods Used in Storing Fruits and Vegetables in Pakistan^|^prime;s Dera Ismail Khan District

Food-Energy Interactive Tradeoff Analysis of Sustainable Urban Plant Factory Production Systems

Identifying and Modelling the Dynamic Response of Leaf Water Content to Water Temperature in Hydroponic Tomato Plant

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