Design of an Intelligent Vision Algorithm for Recognition and Classification of Apples in an Orchard Scene
Apple is one of the remarkable fresh fruit that contains a high degree of nutritious and medicinal value. Hand harvesting of apples by seasonal farmworkers increases physical damages on the surface of these fruits, which causes a great loss in marketing quality. The main objective of this study is focused on designing a robust vision algorithm for robotic apple harvesters. The proposed algorithm is able to recognize and classify 4-classes of objects found in an orchard scene including apples, leaves, trunk and branches, and sky into two apples and non-apples classes. 100 digital images of Red Delicious apples and 100 digital images of Golden Delicious apples were selected among 1000 captured images of apples from 18 apple gardens in West Azerbaijan, Iran. An image processing algorithm is proposed for segmentation and extraction of the image classes based on the color characteristics of mentioned classes. Invariant-Momentums were chosen as the extracted features from the segmented classes, e.g. apples. Multilayer Feedforward Neural Networks, MFNNs, were used as an artificial intelligence tool for the recognition and classification of image classes.
Code (0)
등록된 구현이 없습니다.
Tasks
MarketingSimilar Papers 제목 키워드 기반
Human Activity Recognition with a 6.5 GHz Reconfigurable Intelligent Surface for Wi-Fi 6E
Human Activity Recognition (HAR) is the identification and classification of static and dynamic human activities, which find applicability in domains like healthcare, entertainment, security, and cyber-physical systems. …
Activity RecognitionGesture RecognitionHand Gesture RecognitionHand-Gesture Recognition+1Layout-Independent License Plate Recognition via Integrated Vision and Language Models
This work presents a pattern-aware framework for automatic license plate recognition (ALPR), designed to operate reliably across diverse plate layouts and challenging real-world conditions. The proposed system consists o…
License Plate RecognitionLanguage ModellingMultiFoodhat: A potential new paradigm for intelligent food quality inspection
Food image classification plays a vital role in intelligent food quality inspection, dietary assessment, and automated monitoring. However, most existing supervised models rely heavily on large labeled datasets and exhib…
Image ClassificationA Collaborative Jade Recognition System for Mobile Devices Based on Lightweight and Large Models
With the widespread adoption and development of mobile devices, vision-based recognition applications have become a hot topic in research. Jade, as an important cultural heritage and artistic item, has significant applic…
Object Recognition with Human in the Loop Intelligent Frameworks
Classifiers embedded within human in the loop visual object recognition frameworks commonly utilise two sources of information: one derived directly from the imagery data of an object, and the other obtained interactivel…
ObjectObject Recognition