Citations (16)
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A. Kurunc, N.Y. Tezcan & N. Bimurzayev. (2023) Determination of Water Stress in Wheat Crops by Thermal Images Under Mediterranean Conditions. Communications in Soil Science and Plant Analysis 54:12, pages 1713-1726.
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Mainak Ghosh, Dillip Kumar Swain, Madan Kumar Jha, Virendra Kumar Tewari & Abhishek Bohra. (2020) Optimizing chlorophyll meter (SPAD) reading to allow efficient nitrogen use in rice and wheat under rice-wheat cropping system in eastern India. Plant Production Science 23:3, pages 270-285.
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Bruce L. Dunn, Hardeep Singh & Carla Goad. (2018) Relationship between chlorophyll meter readings and nitrogen in poinsettia leaves. Journal of Plant Nutrition 41:12, pages 1566-1575.
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Qingchun Chen, Yongchao Tian, Xia Yao, Weixing Cao & Yan Zhu. (2014) Comparison of Five Nitrogen Dressing Methods to Optimize Rice Growth. Plant Production Science 17:1, pages 66-80.
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Articles from other publishers (12)
Junying He, Xiaohui Liang, Bei Qi, Wenxu Jing, Ziyi Zhang & Shude Shi. (2020) Diagnosis of Nitrogen Nutrition in Sugar Beet Based on the Characteristics of Scanned Leaf Images. International Journal of Plant Production 14:4, pages 663-677.
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Hongjun Li, Yuming Zhang, Yuping Lei, Vita Antoniuk & Chunsheng Hu. (2019) Evaluating Different Non-Destructive Estimation Methods for Winter Wheat (Triticum aestivum L.) Nitrogen Status Based on Canopy Spectrum. Remote Sensing 12:1, pages 95.
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Jayme Garcia Arnal Barbedo. (2019) Detection of nutrition deficiencies in plants using proximal images and machine learning: A review. Computers and Electronics in Agriculture 162, pages 482-492.
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Dongdong Zhang, Lamin R. Mansaray, Hongwei Jin, Han Sun, Zhaomin Kuang & Jingfeng Huang. (2018) A universal estimation model of fractional vegetation cover for different crops based on time series digital photographs. Computers and Electronics in Agriculture 151, pages 93-103.
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Ekdeep Singh Lubana. (2017) A novel methodology for using digital cameras to calculate spectral parameters. A novel methodology for using digital cameras to calculate spectral parameters.
André Coy, Dale Rankine, Michael Taylor, David Nielsen & Jane Cohen. (2016) Increasing the Accuracy and Automation of Fractional Vegetation Cover Estimation from Digital Photographs. Remote Sensing 8:7, pages 474.
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M.M. Saberioon, M.S.M. Amin, A.R. Anuar, A. Gholizadeh, A. Wayayok & S. Khairunniza-Bejo. (2014) Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale. International Journal of Applied Earth Observation and Geoinformation 32, pages 35-45.
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Biao Jia, Haibing He, Fuyu Ma, Ming Diao, Guiying Jiang, Zhong Zheng, Jin Cui & Hua Fan. (2014) Use of a Digital Camera to Monitor the Growth and Nitrogen Status of Cotton. The Scientific World Journal 2014, pages 1-12.
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Robert L. Rorie, Larry C. Purcell, Douglas E. Karcher & C. Andy King. (2011) The Assessment of Leaf Nitrogen in Corn from Digital Images. Crop Science 51:5, pages 2174-2180.
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E. Raymond HuntJr.Jr., C. S. T. Daughtry, Jan U. H. Eitel & Dan S. Long. (2011) Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index. Agronomy Journal 103:4, pages 1090-1099.
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Kyu-Jong Lee & Byun-Woo Lee. (2011) Estimating canopy cover from color digital camera image of rice field. Journal of Crop Science and Biotechnology 14:2, pages 151-155.
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Robert L. Rorie, Larry C. Purcell, Morteza Mozaffari, Douglas E. Karcher, C. Andy King, Matthew C. Marsh & David E. Longer. (2011) Association of “Greenness” in Corn with Yield and Leaf Nitrogen Concentration. Agronomy Journal 103:2, pages 529-535.
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