This systematic review examines the integration of management science into farm management literature, focusing on its role in addressing contemporary agricultural challenges. By synthesizing recent studies, the review explores how tools such as optimization, decision analysis, systems modeling, and precision agriculture platforms enhance decision-making under conditions of complexity and uncertainty. Key findings highlight the transformative impact of digital tools like Variable Rate Application (VRA), Electro Optical System Data Analytics (EOSDA) Crop Monitoring, and Folio3 AgTech Software on resource allocation, risk management, and supply chain optimization, contributing to improved efficiency, profitability, and sustainability. However, significant gaps persist, including limited adoption among smallholder farmers, fragmented data systems, and insufficient theoretical frameworks to integrate interdisciplinary insights. The review identifies opportunities for advancing theory through supervised control loops and cyber-physical systems, emphasizing the need for unified models that bridge agronomy, data science, and behavioral economics. Practical implications include enhanced decision-support systems and the necessity for policy interventions to promote accessibility and digital literacy. This study calls for interdisciplinary collaboration and user-centered design to fully realize the potential of management science in fostering resilient, sustainable, and equitable agricultural systems.