Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: color , shape and texture based fruit recognition system .
A new method for fruits recognition system
A Completion on Fruit Recognition System Using K-Nearest Neighbors Algorithm
Automatic Segmentation and Yield Measurement of Fruit using Shape Analysis
Fruit recognition from images using deep learning
Plant Image Retrieval Using Color, Shape and Texture Features
Sensors and systems for fruit detection and localization: A review
Content Based Image Retrieval Using Color, Texture and Shape Features
On-line Fruit Grading According to their External Quality using Machine Vision
SEEMORE: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition
Image retrieval using color and shape
Fruit disease detection using color, texture analysis and ANN
Fruit recognition based on convolution neural network
Species and variety detection of fruits and vegetables from images
Fruit Quantity and Quality Estimation using a Robotic Vision System
Automatic fruit recognition and counting from multiple images
Automatic Fruit Grading and Classification System Using Computer Vision: A Review
Leaf Classification Using Shape, Color, and Texture Features
Fruit Feature Recognition Based on Unsupervised Competitive Learning and Backpropagation Algorithms
utomatic detection of skin defects in citrus fruits using a multivariate image nalysis approach
DeepFruits: A Fruit Detection System Using Deep Neural Networks
critical power : an important fatigue threshold in exercise physiology .
A Fully Progressive Approach to Single-Image Super-Resolution
Textural Features for Image Classification
Digital signatures for flows and multicasts
Properties and applications of starch-converting enzymes of the α-amylase family