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Home > Intelligent Data Engineering and Analytics: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 > Classification and Prediction of Rice Crop Diseases Using CNN and PNN
Intelligent Data Engineering and Analytics: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 |
Suresh Chandra Satapathy; Yu-Dong Zhang; Vikrant Bhateja; Ritanjali Majhi
Springer Nature Singapore
Intelligent Data Engineering and Analytics: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2
Classification and Prediction of Rice Crop Diseases Using CNN and PNN
Authors

Suresh Limkar; Sneha Kulkarni; Prajwal Chinchmalatpure; Divya Sharma; Mithila Desai; Shivani Angadi et al.

ARI Id

1665272229492_5661173

Access

Not Available Free

Pages

31-40

DOI

10.1007/978-981-15-5679-1_4

Chapter URL

https://rd.springer.com/chapter/10.1007/978-981-15-5679-1_4

Table of Contents of Book
Showing 1 to 20 of 73 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxiii
Classification of Dry/Wet Snow Using Sentinel-2 High Spatial Resolution Optical Data
V. Nagajothi; M. Geetha Priya; Parmanand Sharma; D. Krishnaveni
1-9
Potential of Robust Face Recognition from Real-Time CCTV Video Stream for Biometric Attendance Using Convolutional Neural Network
Suresh Limkar; Shashank Hunashimarad; Prajwal Chinchmalatpure; Ankit Baj; Rupali Patil
11-20
ATM Theft Investigation Using Convolutional Neural Network
Y. C. Satish; Bhawana Rudra
21-29
Classification and Prediction of Rice Crop Diseases Using CNN and PNN
Suresh Limkar; Sneha Kulkarni; Prajwal Chinchmalatpure; Divya Sharma; Mithila Desai; Shivani Angadi et al.
31-40
SAGRU: A Stacked Autoencoder-Based Gated Recurrent Unit Approach to Intrusion Detection
N. G. Bhuvaneswari Amma; S. Selvakumar; R. Leela Velusamy
41-50
Comparison of KNN and SVM Algorithms to Detect Clinical Mastitis in Cows Using Internet of Animal Health Things
K. Ankitha; D. H. Manjaiah
51-60
Two-Way Face Scrutinizing System for Elimination of Proxy Attendances Using Deep Learning
Arvind Rathore; Ninad Patil; Shreyash Bobade; Shilpa P. Metkar
61-68
Ontology-Driven Sentiment Analysis in Indian Healthcare Sector
Abhilasha Sharma; Anmol Chandra Singh; Harsh Pandey; Milind Srivastava
69-85
Segmentation of Nuclei in Microscopy Images Across Varied Experimental Systems
Sohom Dey; Mahendra Kumar Gourisaria; Siddharth Swarup Rautray; Manjusha Pandey
87-95
Transitional and Parallel Approach of PSO and SGO for Solving Optimization Problems
Cherie Vartika Stephen; Snigdha Mukherjee; Suresh Chandra Satapathy
97-108
Remote Sensing-Based Crop Identification Using Deep Learning
E. Thangadeepiga; R. A. Alagu Raja
109-122
Three-Level Hierarchical Classification Scheme: Its Application to Fractal Image Compression Technique
Utpal Nandi; Biswajit Laya; Anudyuti Ghorai; Moirangthem Marjit Singh
123-132
Prediction of POS Tagging for Unknown Words for Specific Hindi and Marathi Language
Kirti Chiplunkar; Meghna Kharche; Tejaswini Chaudhari; Saurabh Shaligram; Suresh Limkar
133-143
Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems
Apoorva Shastri; Aniket Nargundkar; Anand J. Kulkarni
145-153
Sentiment Analysis on Movie Review Using Deep Learning RNN Method
Priya Patel; Devkishan Patel; Chandani Naik
155-163
Super Sort Algorithm Using MPI and CUDA
Anaghashree; Sushmita Delcy Pereira; Rao B. Ashwath; Shwetha Rai; N. Gopalakrishna Kini
165-170
Significance of Network Properties of Function Words in Author Attribution
Sariga Raj; B. Kannan; V. P. Jagathy Raj
171-181
Performance Analysis of Periodic Defected Ground Structure for CPW-Fed Microstrip Antenna
Rajshri C. Mahajan; Vibha Vyas; Abdulhafiz Tamboli
183-193
Energy Aware Task Consolidation in Fog Computing Environment
Satyabrata Rout; Sudhansu Shekhar Patra; Jnyana Ranjan Mohanty; Rabindra K. Barik; Rakesh K. Lenka
195-205
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 73 entries
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