scholarly journals Emerging Trends in the use of IoT in Agriculture and Food Supply Chain Management: A Theoretical Analysis

Author(s):  
Dr. Sajoy P.B

The last decade has seen the Internet of Things (IoT) taking the world by storm. IoT has the ability to provide a wide range of services in real-time without any form of human intervention. Its most recent application is in the field of agriculture and food supply chain management. The use of IoT in agriculture and food supply chain management is expected to boost agriculture production as well as improve the quality of food products supplied to customers among other things. The use of IoT in agriculture and food supply chain management has however, raises several issues and concerns including those relating to privacy.

The conventional Food Supply Chain Management (FSCM) faces a variety of provocation such as ambiguity, security, cost, complication and quality concerns. To resolve these issues, supply chain must be precise. A challenging assignment in today’s food industry is distributing the high quality of foods throughout the supply chain management. In this paper, proposes an efficient Bayes Classifiers Algorithm which integrated with FSCM using Internet of Things (IoT) to allow tracking, tracing and managing the entire process of food supply chain such as supplier, exporter and customers. The objective of this paper is to determine the food safety and to optimize chronological data produced to analyze the effective possibility of future assump- tions. It also aims to foods carrying from the manufacturers to the customers with help of IoT technologies to bond the producer to the customer with delivery of high class of food products. IoT based Food Supply Chain Traceability is utilized t o data transaction effectively with indeterminate, uncertain and insufficient information. So the proposed efficient Bayes Classifiers Algorithm will be capable to overcome all provocation of conventional supply chain and afford secure background and food safety for FSCM process using IoT technology.


2012 ◽  
Vol 3 (1) ◽  
pp. 45-47
Author(s):  
N.Arunfred N.Arunfred ◽  
◽  
Dr.D.Kinslin Dr.D.Kinslin

2021 ◽  
Vol 11 (3) ◽  
pp. 1088
Author(s):  
Ten-Suz Chen ◽  
Yung-Fu Huang ◽  
Ming-Wei Weng ◽  
Manh-Hoang Do

Corporate social responsibility (CSR) has witnessed remarkable attention in academic studies as well as being widely conducted in different industries globally. This specific case was chosen as one of the biggest dairy companies that may be represented for Vietnam dairy supply chain management. This research aims to integrate CSR initiatives into food supply chain management to clarify the optimal replenishment policy, paying close attention to the relationship between midstream manufacturers and final customers. The classical economic production quantity model has been employed, relying on the two-stage assembly production system. The three parameters that contribute to the total profit formulation that have been considered consist of the social charity amount for per unit selling, the unit wholesale price of the manufacturer, and the return rate of used goods from the customer. The study has stressed that there is a significant impact from implementing CSR initiatives on the enterprise’s inventory policy that leads to enhance the firm’s financial performance.


2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni

2017 ◽  
Vol 9 (4) ◽  
pp. 37-48 ◽  
Author(s):  
Huilan Chen ◽  
Shaofeng Liu ◽  
Festus Oderanti

Making the right decisions for food supply chain is extremely important towards achieving sustainability in agricultural businesses. This paper explores that knowledge sharing to support food supply chain decisions to achieve lean performance (i.e. to reduce/eliminate non-value-adding activities, or “waste” in lean term). The focus of the paper is on defining new knowledge networks and mobilisation approaches to address the network and community nature of current supply chains. Based on critical analysis of the state-of-the-art in the topic area, a knowledge network and mobilisation framework for lean supply chain management has been developed. The framework has then been evaluated using a case study from the food supply chain. Analytic Hierarchy Process (AHP) has been used to incorporate expert's view on the defined knowledge networks and mobilisation approaches with respect to their contribution to achieving various lean performance objectives. The results from the work have a number of implications for current knowledge management and supply chain management in theory and in practice.


2018 ◽  
Vol 147 ◽  
pp. 100-120 ◽  
Author(s):  
G. Dellino ◽  
T. Laudadio ◽  
R. Mari ◽  
N. Mastronardi ◽  
C. Meloni

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