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Design of Smart Weed Detection and Evacuation Robot Using TensorFlow Model Maker

Publication Type : Book Chapter

Publisher : Springer

Source : Lecture Notes in Networks and Systems (LNNS,volume 787), E-ISSN 2367-3389, Print ISSN 2367-3370,2023

Url : https://link.springer.com/chapter/10.1007/978-981-99-6550-2_35

Campus : Chennai

School : School of Engineering

Department : Electronics and Communication

Year : 2023

Abstract : Agriculture was the foundation of civilization, making its importance more apparent. Yet, agriculture is actually a vital industry in every nation on earth. Crops and weeds compete for the same nutrients, water, sunlight, and space. The proposed work intends to eliminate the weeds by sprinkling herbicide in the field while causing no harm to the plant. The automated robot includes a Raspberry Pi for object identification, a USB webcam for object detection, a charging circuit, a sprinkler setup for spraying the herbicide, a movement setup using L298N Motor Driver and DC motors coupled with wheels. The robot is free to travel around the field, while the webcam catches the real environment. The Model Maker algorithm is applied for object detection, which is followed by the detection of the weed and obstacles that exist in the field. The sprinkler arrangement is then instructed to just spray the weed from that point on. The experimental results illustrate that a miniaturized, functionally designed weed control bot is capable of detecting the weeds under various topographical situations and crop growth phases.

Cite this Research Publication : P. Jothilakshmi, C. GomatheeswariPreethika& R. Mohanasundaram, “Design of Smart Weed Detection and Evacuation Robot Using TensorFlow Model Maker”, in the Part of the book series: Lecture Notes in Networks and Systems (LNNS,volume 787), E-ISSN 2367-3389, Print ISSN 2367-3370,2023

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