CNN-MLP-Based Configurable Robotic Arm for Smart Agriculture

Mingxuan Li, Faying Wu, Fengbo Wang, Tianrui Zou, Mingzhen Li and Xinqing Xiao ()
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Mingxuan Li: College of Engineering, China Agricultural University, Beijing 100083, China
Faying Wu: College of Engineering, China Agricultural University, Beijing 100083, China
Fengbo Wang: College of Engineering, China Agricultural University, Beijing 100083, China
Tianrui Zou: College of Engineering, China Agricultural University, Beijing 100083, China
Mingzhen Li: College of Engineering, China Agricultural University, Beijing 100083, China
Xinqing Xiao: College of Engineering, China Agricultural University, Beijing 100083, China

Agriculture, 2024, vol. 14, issue 9, 1-16

Abstract: Amidst escalating global populations and dwindling arable lands, enhancing agricultural productivity and sustainability is imperative. Addressing the inefficiencies of traditional agriculture, which struggles to meet the demands of large-scale production, this paper introduces a highly configurable smart agricultural robotic arm system (CARA), engineered using convolutional neural networks and multilayer perceptron. CARA integrates a highly configurable robotic arm, an image acquisition module, and a deep processing center, embodying the convergence of advanced robotics and artificial intelligence to facilitate precise and efficient agricultural tasks including harvesting, pesticide application, and crop inspection. Rigorous experimental validations confirm that the system significantly enhances operational efficiency, adapts seamlessly to diverse agricultural contexts, and bolsters the precision and sustainability of farming practices. This study not only underscores the vital role of intelligent automation in modern agriculture but also sets a precedent for future agricultural innovations.

Keywords: agricultural robotics; robotic arm; deep learning; convolutional neural networks; multilayer perceptrons; intelligent robotic systems (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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