Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Monitoring and controlling rice diseases using Image processing techniques
Rice disease identification using pattern recognition techniques
survey on image processing based plant leaf disease detection .
Classification of cotton leaf spot diseases using image processing edge detection techniques
Feasibility Study on Plant Chili Disease Detection Using Image Processing Techniques
Application of Support Vector Machine for Detecting Rice Diseases Using Shape and Color Texture Features
Fast and Accurate Detection and Classification of Plant Diseases
An Overview of the Research on Plant Leaves Disease detection using Image Processing Techniques
image processing based disease detection for sugarcane leaves .
on leaf disease detection using image processing techniques .
Applications of Image Processing in Agriculture : A Survey
Detection of soybean rust using a multispectral image sensor
Computer aided system for detection and classification of brinjal leaf diseases using thermal and visible light images
Crops Disease Diagnosing Using Image-Based Deep Learning Mechanism
Agricultural Plant Leaf Disease Detection and Diagnosis Using Image Processing Based on Morphological Feature Extraction
LEAF DISEASE SEVERITY MEASUREMENT USING IMAGE PROCESSING
plant leaf disease detection and classification using image processing techniques .
Identification and Classification of Bulk Paddy, Brown, and White Rice Cultivars with Colour Features Extraction using Image Analysis and Neural Network
AN IMAGE PROCESSING AND NEURAL NETWORK BASED APPROACH FOR DETECTION AND CLASSIFICATION OF PLANT LEAF DISEASES
A Survey on Methods of Plant Disease Detection
Automatic segmentation of crop leaf spot disease images by integrating local threshold and seeded region growing
Androidleaks: automatically detecting potential privacy leaks in android applications on a large scale
OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations
Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective
End-to-End Training of Hybrid CNN-CRF Models for Stereo
Image thresholding by minimizing the measures of fuzzines