Predicting aphid (Lipaphis erysimi) growth in oilseed Brassica using near surface meteorological data from NOAA TOVS—a case study-Reference-Cited by-同舟云学术

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Predicting aphid (Lipaphis erysimi) growth in oilseed Brassica using near surface meteorological data from NOAA TOVS—a case study

Published:2007-08-23 Issue:17 Volume:28 Page:3759-3773
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Bhattacharya B. K.¹,Dutta S.¹,Dadhwal V. K.²,Parihar J. S.¹,Chattopadhyay C.³,Agrawal R.⁴,Kumar V.³,Khan# S. A.⁵,Roy S.³,Shekhar C.³

Affiliation:

1. a Agricultural Resources Group , Space Applications Centre (ISRO) , Ahmedabad 380015, India

2. b Indian Institute of Remote Sensing , Dehradun 248001, India

3. c National Research Centre on Rapeseed‐Mustard (ICAR) , Sewar, Bharatpur 321303, India

4. d Indian Agricultural Statistics Research Institute (ICAR) , New Delhi 110012, India

5. e #Bidhan Chandra Krishi Viswavidyalaya , Mohanpur 741252, India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160701227620

Reference30 articles.

1. Canopy Wetness and Humidity Prediction Using Satellite and Synoptic-Scale Meteorological Observations

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