Crop Identification and Disease Detection by Using Convolutional Neural Networks
- 25 June 2022
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- A two-stage deep neural network for multi-norm license plate detection and recognitionExpert Systems with Applications, 2019
- A Modified Deep Convolutional Neural Network for Abnormal Brain Image ClassificationIEEE Access, 2018
- Deep Learning for Tomato Diseases: Classification and Symptoms VisualizationApplied Artificial Intelligence, 2017
- Using Deep Learning for Image-Based Plant Disease DetectionFrontiers in Plant Science, 2016
- Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS imagesInternational Journal of Applied Earth Observation and Geoinformation, 2015
- Plant Disease Detection Using Image ProcessingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Analysis of NDVI Data for Crop Identification and Yield EstimationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
- A review of object representation based on local featuresJournal of Zhejiang University SCIENCE C, 2013
- Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus treesComputers and Electronics in Agriculture, 2013
- A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural NetworkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007