Predicting chlorophyll and nitrogen content in rice using multiple regression models-Reference-Cited by-同舟云学术

Predicting chlorophyll and nitrogen content in rice using multiple regression models

Published:2023-12-12 Issue: Volume: Page:1-24
ISSN:0190-4167
Container-title:Journal of Plant Nutrition
language:en
Short-container-title:Journal of Plant Nutrition

Author:

Tripathi Rahul¹,Mohanty Sangita¹,Swain Chinmaya Kumar¹,Das Supratim¹,Nayak Pujyasmita¹,Moharana K. C.¹,Mohapatra S. D.¹,Goud B. Raghavendra¹,Raghu S.¹,Sahoo R. N.²,Ranjan Rajeev²,Nayak A. K.¹

Affiliation:

1. Crop Production, ICAR-National Rice Research Institute, Cuttack, India

2. Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi, India

Funder

Indian Council of Agricultural Research

ICAR-National Rice Research Institute

Publisher

Informa UK Limited

Subject

Agronomy and Crop Science,Physiology

Link

https://www.tandfonline.com/doi/pdf/10.1080/01904167.2023.2291032

Reference38 articles.

1. Leaf Color Chart for Managing Nitrogen Fertilizer in Lowland Rice in Bangladesh

2. Prediction of dry direct-seeded rice yields using chlorophyll meter, leaf color chart and GreenSeeker optical sensor in northwestern India

3. Allison, P. D. 1999. Multiple regression: A primer. Thousand Oaks, California: Pine Forge Press.

4. Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

5. Real-time nitrogen management using decision support-tools increases nitrogen use efficiency of rice

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