Analysis on the Influencing Factors of Selection of Marketing Channels of Agricultural Products of Peasants in Yantai–Based on Investigation on Sales Modes of Apples

2021 ◽  
Author(s):  
Jun Li ◽  
Jing Xu ◽  
Haoyan Wang
Keyword(s):  
Influencing Factors ◽  
Marketing Channels ◽  
Agricultural Products ◽  
Selection Of

E-Commerce Berbasis Marketplace Dalam Upaya Mempersingkat Distribusi Penjualan Hasil Pertanian

2017 ◽  
Vol 1 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Deni Apriadi ◽  
Arie Yandi Saputra
Keyword(s):  
Agricultural Sector ◽  
Positive Influence ◽  
End Users ◽  
Marketing Channels ◽  
Agricultural Products ◽  
The Other ◽  
Media Campaign ◽  
Community Groups ◽  
Distribution Chain ◽  
Production Demand

The agricultural sector has an important role in supporting the Indonesian economy. But on the other hand, sometimes many community groups do not benefit due to problems that arise because the distribution chain of agricultural products are long enough, especially for farmers and consumers (end users). Of course the situation must be improved, so that the agricultural products of Indonesia can be enjoyed by consumers or farmers with proper. One of its efforts is by establishing an e-commerce based e-commerce system in agriculture. E-commerce based ecommerce system can be used as an alternative for farmers, used as a media campaign, communication and information and can cut the distribution chain of agricultural products marketing. The benefits felt by farmers and consumers directly and indirectly give a positive influence, especially from the broader marketing channels of agricultural products can increase production demand and spur the procurement of production among farmers and also the price offered to consumers will be cheaper so that sales in agricultural products can be more increased and profitable for farmers

New active learning algorithms for near-infrared spectroscopy in agricultural applications

2021 ◽  
Vol 69 (4) ◽  
pp. 297-306
Author(s):  
Julius Krause ◽  
Maurice Günder ◽  
Daniel Schulz ◽  
Robin Gruna
Keyword(s):  
Active Learning ◽  
Near Infrared ◽  
Agricultural Products ◽  
Training Data ◽  
Calibration Model ◽  
Learning Approaches ◽  
Training Samples ◽  
Agricultural Applications ◽  
Selection Of

Abstract The selection of training data determines the quality of a chemometric calibration model. In order to cover the entire parameter space of known influencing parameters, an experimental design is usually created. Nevertheless, even with a carefully prepared Design of Experiment (DoE), redundant reference analyses are often performed during the analysis of agricultural products. Because the number of possible reference analyses is usually very limited, the presented active learning approaches are intended to provide a tool for better selection of training samples.

Mineral Water Quality Influencing Factors in their Selection for Use

2021 ◽  
Vol 42 ◽  
pp. 203-208
Author(s):  
Mihai Demian ◽  
Gabriela Demian
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
Influencing Factors ◽  
Therapeutic Effect ◽  
Mineral Water ◽  
Mineral Waters ◽  
Selection For ◽  
Physical And Chemical ◽  
Selection Of

The paper presents a way of selecting flat or carbonated mineral waters depending on the purpose for which it wishes to be used. A good mineral water must meet certain physical and chemical qualities at certain temperatures and have the appropriate pH to have the desired therapeutic effect. The analysis of the purpose for which the selection of mineral waters is desired results in the characteristics of the water to be analyzed, compared, and for which a weight of their influence in the decision-making is established. For selected waters, the characteristics receive scores that will in turn influence the selection of the recommended type of mineral water. The conclusions of the paper allow the establishment of a certain type of mineral water for the characteristics imposed by the desired purpose.

scholarly journals Sustainable Supplier Evaluation and Selection of Fresh Agricultural Products Based on IFAHP-TODIM Model

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yupei Du ◽  
Di Zhang ◽  
Yue Zou
Keyword(s):  
Supply Chain ◽  
Evaluation Model ◽  
Multiple Attribute Decision Making ◽  
Agricultural Products ◽  
Evaluation Index System ◽  
Agricultural Product ◽  
Sustainable Supply Chain ◽  
Bottom Line ◽  
Multiple Attribute ◽  
Selection Of

In recent years, increasing pollution of the ecological environment, excessive use of pesticides, and lack of effective management of agricultural product supply chains have made the problem of having a green and safe supply of fresh food increasingly prominent. The sustainability of the fresh agricultural products supply has become an inevitable focus in the development of agricultural enterprises. There are some problems in the supply chain of fresh agricultural products, such as scattered production sites and difficult logistics transportation, which makes it difficult for enterprises to choose reliable suppliers. Supplier selection is a key component of sustainable supply chain management, and the criteria for evaluating the quality of sustainable suppliers are often affected by economic, social, and environmental factors. Therefore, from the perspective of sustainability, based on triple bottom line theory and comprehensively considering the three aspects of society, environment, and economy, this paper proposes a novel evaluation index system for the selection of sustainable suppliers of fresh agricultural products. This paper innovatively integrates the intuition fuzzy analytic hierarchy process and TODIM (an acronym in Portuguese of interactive and multiple attribute decision-making), and these are applied to select sustainable suppliers. Finally, the integration method is applied to the example, and a sensitivity analysis is carried out to verify the validity of the evaluation model.

Identification of influencing factors for the selection of RLSP using DEMATEL method

2017 ◽  
Vol 8 (4) ◽  
pp. 361
Author(s):  
S. Robin Divahar ◽  
C. Sudhahar ◽  
L.M. Karthikeyan ◽  
J. Edwin Raja Dhas
Keyword(s):  
Influencing Factors ◽  
Selection Of

Research of the System Based on BP Network for the Prediction of Grape Disease

2013 ◽  
Vol 462-463 ◽  
pp. 476-480
Author(s):  
Feng Bao ◽  
Juan Wang ◽  
Zhen Hui Ren
Keyword(s):  
Influencing Factors ◽  
Network Model ◽  
Network Structure ◽  
Good Effect ◽  
Bp Network ◽  
Disease Occurrence ◽  
Sample Data ◽  
Long Term Prediction ◽  
Selection Of

The text introduced a system based on BP network for the prediction of grape disease. It included the design of a network structure, the selection of parameter for network study, the processing of sample data etc. With the use of BP network model, this system can forecast the extent of grape disease, so it is applicable to the conditions which have many influencing factors, complicated relationship, difficulty of analyze quantitatively and requirement of long-term prediction. Using this system to the prediction of grape disease in Zhuo Lu area Zhang Jia Kou city, the authors obtained a good effect, which is of value to the prediction of grape disease occurrence.

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