Chapter One — 1.1 Background to the Study

Organizations that depend on agricultural supply chain management are under increasing pressure to modernize, and Computer Vision has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

Despite this potential, many existing agricultural supply chain management were not originally designed with computer vision in mind, resulting in persistent gaps in threat detection accuracy that limit their overall effectiveness. This study examines how Computer Vision can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to threat detection accuracy within agricultural supply chain management remain largely reactive and fragmented, with little systematic use of computer vision despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around computer vision.

1.3 Objectives of the Study

1. To design and implement a computer vision-based approach to improving threat detection accuracy in agricultural supply chain management.
2. To evaluate the effectiveness of Computer Vision in enhancing threat detection accuracy within agricultural supply chain management.
3. To identify the key requirements and constraints relevant to deploying computer vision in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can computer vision be applied to improve threat detection accuracy in agricultural supply chain management?
2. How effective is Computer Vision at enhancing threat detection accuracy within agricultural supply chain management?
3. What requirements and constraints are relevant to deploying computer vision in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in computer vision for their own agricultural supply chain management, and contributes to the broader literature on applied software technology / IT by documenting a concrete implementation and evaluation case.

1.6 Scope of the Study

The study is limited to the design, implementation, and evaluation of a computer vision-based approach to improving threat detection accuracy within agricultural supply chain management. Reflecting its BSc-level scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.