A novel deep learning based approach for seed image classification and retrieval

[1]  Lianhe Yang,et al.  Recognition of carrot appearance quality based on deep feature and support vector machine , 2021, Comput. Electron. Agric..

[2]  Marcel Salathé,et al.  Using Deep Learning for Image-Based Plant Disease Detection , 2016, Front. Plant Sci..

[3]  Junhao Wen,et al.  Fundus Image Classification Using VGG-19 Architecture with PCA and SVD , 2018, Symmetry.

[4]  Gianluigi Bacchetta,et al.  Potential use of seed morpho-colourimetric analysis for Sardinian apple cultivar characterisation , 2019, Comput. Electron. Agric..

[5]  Shiv Ram Dubey,et al.  Local Diagonal Extrema Pattern: A New and Efficient Feature Descriptor for CT Image Retrieval , 2015, IEEE Signal Processing Letters.

[6]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[7]  Cecilia Di Ruberto,et al.  Detection of red and white blood cells from microscopic blood images using a region proposal approach , 2019, Comput. Biol. Medicine.

[8]  Cecilia Di Ruberto,et al.  A Mobile Application for Leaf Detection in Complex Background Using Saliency Maps , 2016, ACIVS.

[9]  Andreas Kamilaris,et al.  Deep learning in agriculture: A survey , 2018, Comput. Electron. Agric..

[10]  Niko Sünderhauf,et al.  Evaluation of Features for Leaf Classification in Challenging Conditions , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

[11]  Nataliia Kussul,et al.  Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data , 2017, IEEE Geoscience and Remote Sensing Letters.

[12]  Gianluigi Bacchetta,et al.  Seed morphometry is suitable for apple-germplasm diversity-analyses , 2018, Comput. Electron. Agric..

[13]  O. Grillo,et al.  Predictive Method for Correct Identification of Archaeological Charred Grape Seeds: Support for Advances in Knowledge of Grape Domestication Process , 2016, PloS one.

[14]  Jaromir Przybylo,et al.  Using Deep Convolutional Neural Network for oak acorn viability recognition based on color images of their sections , 2019, Comput. Electron. Agric..

[15]  Rob Lind.  Open source software for image processing and analysis: picture this with ImageJ , 2012 .

[16]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[17]  Ali Amer Alwan,et al.  A Convolution Neural Network-Based Seed Classification System , 2020, Symmetry.

[18]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.