International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
ISSN: 2583-6129

Impact Factor: 6.674

DRIVERLESS TRACTOR

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DRIVERLESS TRACTOR

Mr. K LAKSHMANA KANNAN, Mr. B MITHRAN, Mr. M K PRADEEP, Mr. M SACHIN

  1. S. PRAKASH(MENTOR)

 

INFORMATION TECHNOLOGY

SRI SHAKTHI INSTITUTE OF ENGINEERING AND TECHNOLOGY

COIMBATORE

Abstract - The integration of driverless tractors into agriculture signifies a major leap in technological advancement, driven by the collaboration between farmers and tech developers. Early plowing methods, once labor-intensive and inefficient, have evolved significantly, paving the way for the adoption of autonomous farming solutions. These driverless tractors, equipped with advanced GPS, sensors, and AI, address traditional plowing challenges, offering precision, efficiency, and environmental sustainability. The literature review highlights the critical roles of GPS, AI, and sensor technologies in enhancing autonomous tractor performance, emphasizing benefits such as reduced labor dependency and higher crop yields. Python and Turtle Graphics provide software foundations for these technologies, while hardware components like radar, LiDAR, and ultrasonic sensors ensure robust and reliable operation. As the industry moves forward, the integration of IoT and big data promises even greater advancements, underscoring the transformative potential of driverless tractors in modern agriculture.

Key Words:  autonomous vehicle, GPS, sensors, python, turtle graphics, journals,IoT


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