Exploring the benefit of farming slideshow to agri-business marketing

This paper proposes the mechanism of farming slideshow, a new presentation of traceability by dynamic arrangement to farming records on S.A.M.P. The experiment is performed in the Yongling organic farm in Kaohsiung, generating over 30,000 vegetable packages supporting farming slideshow.
8 months ago
Authors: Yung-Hsing Penga, Po-Cheng Huang, Ying-Hsu Chen, Chia-Cheng Lin and Ming-Hsiang Wang
 
Journal Title: MATEC Web of Conferences
 
ISSN: 2261-236X (Online)
 
Publisher: EDP Sciences
 
Abstract
 
In Taiwan agriculture, most of the production management is done by paperwork. This kind of approach is labor-costing, and unable to give real-time information, which makes it difficult to disclose sufficient information from production, and therefore results in the problem of food safety. To break the bottleneck, the Institute for Information Industry (III) develops the Smart Agri-management Platform (S.A.M.P.), providing cloud services for agricultural production and sale management. In this paper, we adopt the S.A.M.P. to collect farming records containing images, date, field location, and task name. Traditionally, farming records are used to generate a table of texts for traceability. However, it is difficult to arouse the interest from customers by merely using texts.
 
Therefore, this paper proposes the mechanism of farming slideshow, a new presentation of traceability by dynamic arrangement to farming records on S.A.M.P. The experiment is performed in the Yongling organic farm in Kaohsiung, generating over 30,000 vegetable packages supporting farming slideshow. According to 42 valid questionnaires from customers, 83% of them express higher willing to buy products with farming slideshow than those with only texts. Therefore, food traceability with slideshow can offer benefit to agri-business marketing, which is a positive reference for future agriculture.
 

Figure: The architecture of the production management using S.A.M.P. (credits: Yung-Hsing Penga, Po-Cheng Huang, Ying-Hsu Chen, Chia-Cheng Lin and Ming-Hsiang Wang)

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
Read more

Comments

No comments to display.

Related posts

Continental free trade area to boost e-commerce in Africa

High-level session at UNCTAD's Africa eCommerce Week shows that the continent has the potential to scale e-commerce enterprises - but its new free trade area will be key.

Bayer helps farmers keep sows healthy with new BCS SowDition smartphone application

BCS SowDition enables accurate and standardized body condition scoring of sows in four simple steps, contributing to better health and management.

Call for applications: 2019 Syngenta Crop Challenge in Analytics prize

Corn is one of the world’s most important crops. Each year, breeders create several new corn products, known as experimental hybrids. Corn breeders work to create corn hybrids that can maintain high yield across a wide range of environments.
Application Deadline in a month

Application of the IoT technologies in the poultry chain

The growth of poultry relies on the environment in which the bird feels comfortable, as well as on good-quality feed and water. In this use case, the performance of the poultry production chain is optimised through IoT driven technologies.

New Initiative to Mitigate Risk for Global Solar Scale-up

The World Bank and Agence Française de Développement (AFD) are developing a joint Global Solar Risk Mitigation Initiative (SRMI), an integrated approach to tackle policy, technical and financial issues associated with scaling up solar energy deployment, especially in some of the world’s poorest countries.

Challenges and opportunities of introducing Internet of Things and Artificial Intelligence applications into Supply Chain Management

The study examines the challenges and opportunities of introducing Artificial Intelligence (AI) and the Internet of Things (IoT) into the Supply Chain Management (SCM). This research focuses on the Logistic Management. The central research question is “What are the key challenges and opportunities of introducing AI and IoT applications into the Supply Chain Management?”

Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing new developments in various application domains, such as the Internet of Mobile Things (IoMT), Autonomous Internet of Things (A-IoT), Autonomous System of Things (ASoT), Internet of Autonomous Things (IoAT), Internet of Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc. that are progressing/advancing by using IoT technology.

3D Food Printers Market Driven by Growing Demand for Customized Food

The 3D food printers market is expected to grow at a robust CAGR from 2017 to 2028. This market growth is expected to be driven by factors such as the growing demand for customised food and the development of the industrial sector in this region.

Vision-Based Apple Classification for Smart Manufacturing

In this paper, an accurate data capture approach based on a vision sensor is proposed. Three image recognition methods are studied to determine the best vision-based classification technique, namely Bag of Words (BOW), Spatial Pyramid Matching (SPM) and Convolutional Neural Network (CNN).

Intel Drone Solutions Modernize and Increase Efficiency for US Bridge Inspections

Intel collaborated with two departments of transportation to improve bridge inspections, supplementing manual inspections of the Daniel Carter Beard Bridge connecting Ohio and Kentucky and the Stone Arch Bridge in Minnesota. Throughout the inspections, Intel’s advanced automated commercial drone hardware and software solutions increased efficiency and produced more reliable data in a fraction of the time and cost of traditional methods.