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All Journal International Journal of Informatics and Communication Technology (IJ-ICT)
Edwin, E. Bijolin
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Computer Science & IT

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Revolutionizing agricultural efficiency with advanced coconut harvesting automation Davincy R., Yona; Veemaraj, Ebenezer; Edwin, E. Bijolin; Kirubakaran S., Stewart; Thanka, M. Roshni; Neola J., Dafny
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 13, No 3: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v13i3.pp537-546

Abstract

The precision coconut harvesting system aims to develop an efficient system for accurately detecting coconuts in agricultural landscapes using advanced image processing techniques. Coconut cultivation is vital to many tropical economies and precise monitoring is essential for optimizing yield and resource utilization. Traditional methods of coconut detection are labor-intensive and time-consuming. The proposed computer vision-based approach automates and enhances coconut detection by analyzing high-resolution images of coconut plantations. Pre-processing techniques improve image quality and object detection algorithms such as convolutional neural networks (CNNs) identify coconut clusters. Challenges like lighting variations and background clutter are addressed using feature extraction and pattern recognition. A user-friendly interface visualizes detection results, aiding farmers in timely decision-making. Extensive testing on diverse datasets evaluates system effectiveness. This model aims to advance precision agriculture, enhancing productivity and informing coconut farmers' decision-making processes. Using a CNN model, the accuracy of coconut detection based on its ripeness was 98.8%.
Co-Authors Davincy R., Yona Kirubakaran S., Stewart Neola J., Dafny Thanka, M. Roshni Veemaraj, Ebenezer