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Relevant bibliographies by topics / Agricultural products selection and sorting

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Journal articles

Academic literature on the topic 'Agricultural products selection and sorting'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Agricultural products selection and sorting"

1

Wang, Aiguo, Yazhe Wang, and Qinghai Chen. "Analyzing Network Model for Organic Vegetable Distribution: A Case Study of Zhengzhou City." Mobile Information Systems 2021 (June 8, 2021): 1–7. http://dx.doi.org/10.1155/2021/7597936.

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Due to rapid population growth and increasing demand for high-quality and fresh agricultural products, it is essential to develop advanced transportation networks and distribution centers for perishable vegetables, particularly in urban areas. In this paper, a distribution center model is designed to speed up urban vegetable distribution and reduce transportation and economic costs. This paper develops an algorithm to solve the nonlinear problem and provides numerical analysis to illustrate the proposed solution. It discusses the effects of various system parameters on the decisions and total transportation cost. An improved model of the location selection for the organic vegetable distribution center and sorting center is calculated. The optimum locations of urban organic vegetables distribution center and sorting center are achieved. A real case of an agricultural product supply chain in Zhengzhou City is used to verify the model. The results of this study can serve as a reference for business administrators and managers.

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2

Abbaspour-Gilandeh, Yousef, Sajad Sabzi, Brahim Benmouna, Ginés García-Mateos, José Luis Hernández-Hernández, and José Miguel Molina-Martínez. "Estimation of the Constituent Properties of Red Delicious Apples Using a Hybrid of Artificial Neural Networks and Artificial Bee Colony Algorithm." Agronomy 10, no. 2 (2020): 267. http://dx.doi.org/10.3390/agronomy10020267.

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Non-destructive estimation of the constituent properties of fruits and vegetables has led to a dramatic change in the agriculture and food industry, allowing accurate and efficient sorting of the products based on their internal properties. Therefore, the present study utilized visible (VIS) and near-infrared (NIR) spectroscopy data in the range from 200 to 1100 nm for the estimation of several properties of Red Delicious apples, namely Brix minus acid (BrimA), firmness, acidity and starch content, using a hybrid of Artificial Neural Networks and Artificial Bee Colony (ANN–ABC) algorithm. Furthermore, the hybrid Artificial Neural Network–Particle Swarm Optimization (ANN–PSO) algorithm was utilized to select the most effective properties to estimate these characteristics. The results indicated that there are different peaks within this spectral range, and the spectral range for each peak gives different results. To ensure the stability of the proposed method, 1000 replications were performed for each estimate. The highest coefficients of determination, R2, for estimating the studied properties among the 1000 replicates were 0.898 for BrimA, 0.8 for firmness, 0.825 for acidity and 0.973 for starch content. The selection of the most effective wavelengths for estimating the properties produced five effective wavelengths for BrimA, nine for firmness, seven for acidity and five for starch content. In this case, the best R2 of the hybrid ANN–ABC among the 1000 iterations were 0.828, 0.738, 0.9 and 0.923, respectively.

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3

Lieberman, Bruce S., and Elisabeth S. Vrba. "Hierarchy Theory, Selection, and Sorting." BioScience 45, no. 6 (1995): 394–99. http://dx.doi.org/10.2307/1312719.

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4

Divin, A. G., P. V. Balabanov, G. V. Shishkina, and G. V. Mozgova. "A Model of Robotic Sorting Facility for Agricultural Products." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 23, no. 4 (2017): 601–8. http://dx.doi.org/10.17277/vestnik.2017.04.pp.601-608.

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5

J. B. Meyers, Jr., S. E. Prussia, C. N. Thai, T. L. Sadosky, and D. T. Campbell. "VISUAL INSPECTION OF AGRICULTURAL PRODUCTS MOVING ALONG SORTING CONVEYORS." Transactions of the ASAE 33, no. 2 (1990): 0367–72. http://dx.doi.org/10.13031/2013.31339.

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6

Price, Rebecca M. "Natural Selection Is a Sorting Process: What Does That Mean?" American Biology Teacher 75, no. 2 (2013): 130–31. http://dx.doi.org/10.1525/abt.2013.75.2.11.

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To learn why natural selection acts only on existing variation, students categorize processes as either creative or sorting. This activity helps students confront the misconception that adaptations evolve because species need them.

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7

Bagheri, Raana, Zahra Borouji, Seyed Behnam Razavian, Mohammad Mahdi Keshvari, Farzad Sharifi, and Sara Sharifi. "Implementation of MCDM-Based Integrated Approach to Identifying the Uncertainty Factors on the Constructional Project." Mathematical Problems in Engineering 2021 (September 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/1473917.

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Presently, environmental management for companies emphasizing environmental protection has become one of the most critical issues for customers, shareholders, governments, employees, competitors, and global pressures requiring organizations to produce environmentally-friendly products and services. This challenge has created a new concept called green supply chain management in business, which combines environmental thinking with the supply chain. Selection of suppliers by considering risk criteria is a category that has attracted the attention of a large number of researchers in order to select the best suppliers according to uncertain factors. In this research, we aim to select a green supplier considering risk factors using a new MCDM approach under uncertainty. For this selection problem, HF-MAIRCA, a new multicriteria sorting method for many alternatives, has been developed. This is used for sorting the alternatives into predefined, ordered supplier categories. This sorting method can be applied to different environmental problems that have a large number of alternatives. As a result of Iran’s case study, the result shows that materials flexibility and materials quality are essential criteria for green supplier selection.

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8

Chen, P., and Z. Sun. "A review of non-destructive methods for quality evaluation and sorting of agricultural products." Journal of Agricultural Engineering Research 49 (May 1991): 85–98. http://dx.doi.org/10.1016/0021-8634(91)80030-i.

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9

Li, Jin, Chen Ma, and Jun Jun Wang. "Agricultural Products Quality Safety Supervision Information Technology Selection and Evaluation." Advanced Materials Research 550-553 (July 2012): 1952–58. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.1952.

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The quality safety of agricultural products play an important role in national economic development and social stability. This article introduced the agricultural products quality safety supervision information support technology, such as rapid detection and monitoring technology; the biological chip technology; agricultural products quality safety traceability technology; modern agricultural equipment and technology; vehicle positioning system; agricultural products quality safety inspection technology; technological choice index system; construction of the evaluation system. In the last part of this article it sent an agricultural products quality safety supervision information technology selection and evaluation, which means to use the scoring method to determine the index weight, technology index. And gave a table to introduce the vegetable quality safety supervision information technology selection index system in order to provide a theoretical basis with the perspective of industrial chain of vegetable quality safety supervision information technology and equipment integration.

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10

Novkovic, Nebojsa, Sandor Somodji, and Milenko Matkovic. "Selection of agricultural land for multifunctional agriculture." Applied Studies in Agribusiness and Commerce 4, no. 1-2 (2010): 49–52. http://dx.doi.org/10.19041/apstract/2010/1-2/6.

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The modern concept of rural development implies the use of agricultural resources, primarily agricultural land, for other (non-agricultural) activities besides its agricultural purpose. The integral aim of this concept of rural development is the maximization of economic results, besides the sustainable development of rural areas, environmental protection and the production of strategic (staple) agricultural products. The objective of this paper is to define the general, theoretical, quantitative model for the determination of the size and quality of agricultural land which, considering the above-mentioned demands (criteria), is optimal for the utilization in agricultural production in certain regions. The remaining agricultural land would be available for the non-agricultural purposes. The economic optimal model for the selection of agricultural land in the traditional agriculture is the model of linear programming. The criteria of the land selection for traditional agriculture are the economic effectiveness (measured by net income or by gross national product) and the economic efficiency (measured by the production economy). The maximum economic effectiveness is determined by the standard method of linear programming and the maximum economy by the method of broken linear programming. The solution of compromise can be determined by multi-criteria programming, based on the minimum differences. The limitation groups in the mentioned variations of the model are: limitations of production quotas of agricultural products, minimum quantities of staple agricultural products, limitations of processing plants in a region (minimum and maximum), limitation of crop rotation, limitations of the needs in animal husbandry for bulky for age and limitations of agricultural land according to various types of utilization. By quantitative defining of the structure and size of agricultural land for traditional agriculture, “the surplus” and structure of agricultural land available for non-agricultural purposes is automatically determined.

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