Conference proceedings

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CEST Proceedings are published under the ISSN 2944-9820.

Quantification of Soil Properties from Hyperspectral Data for Sustainable Agriculture Using Deep Learning

(Corresponding) Singh S., Kasana S.

Topic:

Agroforestry, forest and agricultural sustainability

The characterization of soil properties is critical for optimizing farming for sustainable agriculture. All the existing techniques for soil quantification do not take advantage of the sequential nature of Hyperspectral Data. This work focuses on proposing a Hybrid Framework that can quantitatively...Read more

Keywords:

Hyperspectral data, LSTM, PCA, LPP, Nutrients.

DOI:

https://doi.org/10.30955/gnc2019.00722

Conference:

CEST2019

Paper ID:

cest2019_00722