Published on: May 2026
DESIGN AND OPTIMIZATION OF AGRICULTURAL MACHINERY AUTONOMOUS CONTROL SYSTEM INTEGRATING TRIZ METHOD AND INTERNET OF THINGS TECHNOLOGY
G.Venkatesh G.Parasuraman S.Shekshabir
S.Gopal
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Abstract
This paper presents the design and optimization of an autonomous agricultural machinery control system integrating TRIZ methodology and Internet of Things (IoT) technology. Traditional farming relies heavily on manual operations, resulting in high labor costs, inefficient resource usage, and reduced productivity. The proposed system utilizes sensors such as soil moisture, GPS, and obstacle detection for real-time field monitoring. A microcontroller-based unit processes sensor data and controls irrigation and spraying mechanisms. IoT connectivity enables remote monitoring and control through a cloud platform. The TRIZ approach is applied to resolve engineering contradictions and enhance system efficiency. The system improves precision in irrigation and fertilizer application while reducing energy and chemical wastage. Overall, it enhances productivity, reduces labor dependency, and promotes sustainable precision agriculture practices.
How to Cite this Paper
G.Venkatesh, , G.Parasuraman, & S.Shekshabir, (2026). Design and Optimization of Agricultural Machinery Autonomous Control System Integrating TRIZ Method and Internet of Things Technology. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.244
G.Venkatesh, , et al.. "Design and Optimization of Agricultural Machinery Autonomous Control System Integrating TRIZ Method and Internet of Things Technology." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.244.
G.Venkatesh, , G.Parasuraman, and S.Shekshabir. "Design and Optimization of Agricultural Machinery Autonomous Control System Integrating TRIZ Method and Internet of Things Technology." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.244.
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- •Published on: May 12 2026
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