Deep Learning-Based Method for Classification of Sugarcane Varieties

A new method for pixel classification for rice variety identification using spectral and time series data from Sentinel-2 satellite imagery

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Remote Sensing Applications in Sugarcane Cultivation: A Review

(2021) Jaturong Som-ard et al.   Remote Sensing

Classification of sugarcane varieties using visible/near infrared spectral reflectance of stalks and multivariate methods

(2018) A. J. Steidle Neto et al.   JOURNAL OF AGRICULTURAL SCIENCE

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties

(2018) Salvador Gutiérrez et al.   Frontiers in Plant Science

Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters

(2011) Sachidananda Mishra et al.   REMOTE SENSING OF ENVIRONMENT

Development of a crop‐specific spectral library and discrimination of various agricultural crop varieties using hyperspectral imagery

(2007) N. Rama Rao   INTERNATIONAL JOURNAL OF REMOTE SENSING