Agricultural Supply Chain Efficiency Measurement using Optimization Equation

The study is descriptive but quantitative data collected through the administered structured questionnaire interpreted and presented exploratory with explanations for the primary understanding. The need for finding the relationship and to get the understanding of effect of producer’s variable with vertically coordinated agricultural supply chain variables that can measure the efficiency of agricultural supply chain and can develop the optimized equation is the main idea behind the study. Objectives formulated as to find the relationship of Producer’s variables with agricultural supply chain variables, to understand the effect of Producer’s variables with agricultural supply chain variables and to get the econometric model as the solution for the proposed conceptual model. Cluster sampling method of probability sampling was used to select the respondent from a cluster of green agricultural growers. The sample size for the farmer was 757. Study concludes that, Market and selling, Credit and stock strategy, and prices and transaction cost are having strong relationship and impact on vertically coordinated agricultural supply chain. Constraints in the specific case of producers is conceptually not accepted based on the responses of farmers

Enterprise-Oriented IoT Name Service for Agricultural Product Supply Chain Management

Internet of Things (IoT) technologies have a great potential to improve the safety and quality of agricultural products. By providing near continuous monitoring from planting through harvesting and to our homes, IoT technologies are able to provide farm to fork visibility with all of the resulting benefits that accrue from that visibility. Unique identification provides the foundation of these benefits with a name service enabling efficient storage and retrieval of the data associated with each identifier. In this work, we present iotNS, a simple, efficient enterprise-oriented name service designed for agricultural products. The iotNS provides five times faster response than the standard GS1 ONS system. The iotNS has been deployed across five cities to enable the efficient storage and retrieval of information about agricultural products as they are tracked from the farm to the market. The deployment has shown that the visibility provided by iotNS is a mechanism that fosters cooperation and supply chain improvements among the enterprises using the iotNS