Comparative performance of per-pixel classifiers using ers-1 sar data for classification of rice crop

1997 ◽  
Vol 25 (3) ◽  
pp. 155-161 ◽  
Author(s):  
M Chakraborty ◽  
S Panigrahy
2002 ◽  
Vol 6 (3) ◽  
pp. 217-232 ◽  
Author(s):  
Martin Hellmann ◽  
Gunther Jäger

2011 ◽  
Vol 8 (2) ◽  
pp. 196-200 ◽  
Author(s):  
Fan Wu ◽  
Chao Wang ◽  
Hong Zhang ◽  
Bo Zhang ◽  
Yixian Tang

2019 ◽  
Vol 8 (3) ◽  
pp. 27-31
Author(s):  
R. P. L. Durgabai ◽  
P. Bhargavi ◽  
S. Jyothi

Data, in today’s world, is essential. The Big Data technology is rising to examine the data to make fast insight and strategic decisions. Big data refers to the facility to assemble and examine the vast amounts of data that is being generated by different departments working directly or indirectly involved in agriculture. Due to lack of resources the pest analysis of rice crop is in poor condition which effects the production. In Andhra Pradesh rice is cultivated in almost all the districts. The goal is to provide better solutions for finding pest attack conditions in all districts using Big Data Analytics and to make better decisions on high productivity of rice crop in Andhra Pradesh.


1995 ◽  
Vol 23 (2) ◽  
pp. 33-39 ◽  
Author(s):  
N K Patel ◽  
T T Medhavy ◽  
C Patnaik ◽  
A Hussain
Keyword(s):  

2019 ◽  
Vol 57 (10) ◽  
pp. 7476-7491 ◽  
Author(s):  
Mohsen Ghanbari ◽  
David A. Clausi ◽  
Linlin Xu ◽  
Mingzhe Jiang
Keyword(s):  
Sea Ice ◽  

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