Usefulness of interpretability methods to explain deep learning based plant stress phenotyping

• Authors : Nagasubramanian, Koushik; Singh, Asheesh K.; Singh, Arti

Subjects: Computer Science - Computer Vision and Pattern Recognition

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How useful is Active Learning for Image-based Plant Phenotyping?

• Authors : Nagasubramanian, Koushik; Jubery, Talukder Z.; Ardakani, Fateme Fotouhi

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps

• Authors : Nagasubramanian, Koushik; Jones, Sarah; Singh, Asheesh K.

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean

• Authors : Nagasubramanian, Koushik; Jones, Sarah; Sarkar, Soumik

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Plant disease identification using explainable 3D deep learning on hyperspectral images

• Authors : Nagasubramanian, Koushik; Jones, Sarah; Singh, Asheesh K.

Subjects: article

• Source: Plant methods. 2019 15(1):98-98.

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Automated trichome counting in soybean using advanced image‐processing techniques.

• Authors : Mirnezami, Seyed Vahid; Young, Therin; Assefa, Teshale

Subjects: PLANT epidermis; THRESHOLDING algorithms; IMAGE processing

• Source: Applications in Plant Sciences; Jul2020, Vol. 8 Issue 7, p1-8, 8p

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Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

• Authors : Nagasubramanian, Koushik; Jones, Sarah; Sarkar, Soumik

Subjects: article

• Source: Plant methods. 2018 14(1):86-86.

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