Presently, precision farming is an important approach to agricultural productivity maximization that minimizes the environmental footprint. Among other prevailing issues in modern farming, effective and controlled application of pesticides is essential for the prevention of crop diseases and pests. The usual application methods always result in unnecessary amounts of chemicals, leading to the pollution of the environment, health hazards to the farm workforce, and high costs of production. Uneven pesticide application also leads to reduced effectiveness in that some crops are left open to pests, while others receive excessive spraying. This research project presents a solar-powered automated pesticide sprayer with the aim of improving precision in pesticide application. The system utilizes solar energy harvesting, automation via sensors, and a controlled mechanism for spraying to ensure optimal distribution of pesticides. This means the system will offer a renewable energy source in a sustainable way for rural farming areas that do not have much access to electricity and will ensure real-time decision-making with an automated spraying mechanism adjusting pesticide application on crop health, infestation level, and environmental conditions. It is supposed to enhance efficiency while reducing labor costs and ensuring the practice of sustainable agriculture. It minimizes human intervention, thus reducing health risks for farmers exposed to chemical pesticides. The study includes a literature survey on existing pesticide spraying technologies, methodology for system design, experimental results, and discussions on its impact. The findings show the effectiveness of solar-powered automation in precision farming and highlight future research opportunities, including integration with AI-driven pest detection systems and autonomous navigation enhancements.