Conference proceedings

Displaying 1 - 2 of 2 in Agroforestry, forest and agricultural sustainability (remove filter), data (remove filter)

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

Estimation of Soil Organic Carbon for Sustainable Agriculture using Deep Learning

(Corresponding) Singh S., Kasana S.

Topic:

Agroforestry, forest and agricultural sustainability

The organic carbon percentage is concomitant indicating the mineralization of nutrients and the ability of the soil to hold nutrients cations, structural stability, and water holding capacity. It is necessary to know the quantity of carbon for healthy soil and avoid the production related problems...Read more

Keywords:

Deep Learning, Long Short-Term Networks, Silica, Organic Carbon, Hyperspectral Data

DOI:

https://doi.org/10.30955/gnc2019.00723

Conference:

CEST2019

Paper ID:

cest2019_00723