The mining sector is under increasing pressure to adopt sustainable practices that minimize environmental impacts while maintaining operational efficiency. This chapter examines the environmental impact of sustainable dozer technologies in mining, specifically comparing servo and hydraulic pilot actuated control systems. Crawler-mounted dozers are crucial in coal mining operations for tasks like pushing heavy overburden and constructing haul roads. Additionally, the integration of machine learningMachine learning (ML) and deep learningDeep learning (DL) models in dozer optimization is emerging as a transformative approach to enhancing operational efficiency. These models enable predictive maintenance, real-time performance monitoring, and fuelFuel consumption optimization, significantly reducing downtime and environmental impact. Furthermore, the transition to advanced hydraulic systems presents a strategic advantage in achieving environmental compliance by improving energyEnergy efficiency efficiency and reducing hydraulic fluid waste. By analyzing operational efficiencies, emissionsEmission reductions, and overall sustainabilitySustainability, this study identifies the advantages and disadvantages of servo and hydraulic pilot actuated control valves in dozers. The findings suggest that while both systems offer benefits, servo control systems may provide a superior balance of efficiency and environmental performance, particularly in reducing fuel consumption and emissions. The chapter concludes with recommendations for future research and implementation strategies for enhancing sustainability through advanced dozer technologies, with a focus on intelligent automationAutomation and next-generation hydraulic solutions.