Citations (40)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (5)
Natasha Macnack, Bee Chim Khim, Jeremiah Mullock & William Raun. (2014) In-Season Prediction of Nitrogen Use Efficiency and Grain Protein in Winter Wheat (Triticum aestivum L.). Communications in Soil Science and Plant Analysis 45:18, pages 2480-2494.
Read now
Read now
Wenhua Zhang, LindiJ. Quackenbush, Jungho Im & Lianjun Zhang. (2012) Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images. International Journal of Remote Sensing 33:17, pages 5451-5472.
Read now
Read now
C Zhao, Z Wang, J Wang, W Huang & T Guo. (2011) Early detection of canopy nitrogen deficiency in winter wheat (Triticum aestivum L.) based on hyperspectral measurement of canopy chlorophyll status. New Zealand Journal of Crop and Horticultural Science 39:4, pages 251-262.
Read now
Read now
Lina Shou, Liangliang Jia, Zhenling Cui, Xinping Chen & Fusuo Zhang. (2007) Using High-Resolution Satellite Imaging to Evaluate Nitrogen Status of Winter Wheat. Journal of Plant Nutrition 30:10, pages 1669-1680.
Read now
Read now
Ajit Govind, Bhavanarayana M, Jyothi Kumari & Arun Govind. (2005) Efficacy of different indices derived from spectral reflectance of wheat for nitrogen stress detection. Journal of Plant Interactions 1:2, pages 93-105.
Read now
Read now
Articles from other publishers (35)
A Longmire, T Poblete, A Hornero, D Chen & P.J Zarco-Tejada. (2023) Estimation of grain protein content in commercial bread and durum wheat fields via traits inverted by radiative transfer modelling from Sentinel-2 timeseries. ISPRS Journal of Photogrammetry and Remote Sensing 206, pages 49-62.
Crossref
Crossref
Joel Segarra, Fatima Zahra Rezzouk, Nieves Aparicio, Jon González-Torralba, Iker Aranjuelo, Adrian Gracia-Romero, Jose Luis Araus & Shawn C. Kefauver. (2023) Multiscale assessment of ground, aerial and satellite spectral data for monitoring wheat grain nitrogen content. Information Processing in Agriculture 10:4, pages 504-522.
Crossref
Crossref
Shamma Alshehhi, Shamma Almannaee & Maad Shatnawi. 2023. Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems. Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems
150
161
.
A.R. Longmire, T. Poblete, J.R. Hunt, D. Chen & P.J. Zarco-Tejada. (2022) Assessment of crop traits retrieved from airborne hyperspectral and thermal remote sensing imagery to predict wheat grain protein content. ISPRS Journal of Photogrammetry and Remote Sensing 193, pages 284-298.
Crossref
Crossref
Xiangyu Chen, Xin Lv, Lulu Ma, Aiqun Chen, Qiang Zhang & Ze Zhang. (2022) Optimization and Validation of Hyperspectral Estimation Capability of Cotton Leaf Nitrogen Based on SPA and RF. Remote Sensing 14:20, pages 5201.
Crossref
Crossref
Ayad Abdullah Khalaf, Ayad Ahmed Hammada & Mohammed Jarullah Farhan. (2022) Digital Camera is a Surveying Tool for Predicting Effect of Fertilizer Level N, Mg on Wheat Growth and Yield in Gypsiferious Soil. IOP Conference Series: Earth and Environmental Science 1060:1, pages 012006.
Crossref
Crossref
Paul C. Stoy, Anam M. Khan, Aaron Wipf, Nick Silverman & Scott L. Powell. (2022) The spatial variability of NDVI within a wheat field: Information content and implications for yield and grain protein monitoring. PLOS ONE 17:3, pages e0265243.
Crossref
Crossref
Halimatu Sadiyah Abdullahi & Ray E. Sheriff. 2022. Deep Learning for Sustainable Agriculture. Deep Learning for Sustainable Agriculture
81
107
.
Leonardo M. Bastos, Andre Froes de Borja Reis, Ajay Sharda, Yancy Wright & Ignacio A. Ciampitti. (2021) Current Status and Future Opportunities for Grain Protein Prediction Using On- and Off-Combine Sensors: A Synthesis-Analysis of the Literature. Remote Sensing 13:24, pages 5027.
Crossref
Crossref
Varinderpal-Singh, Kunal, Alison R. Bentley, Howard Griffiths, Tina Barsby & Bijay-Singh. 2021. Input Use Efficiency for Food and Environmental Security. Input Use Efficiency for Food and Environmental Security
479
511
.
Valentin Ganchenko, Valery Starovoitov & Xiangtao Zheng. (2020) Image Semantic Segmentation Based on High-Resolution Networks for Monitoring Agricultural Vegetation. Image Semantic Segmentation Based on High-Resolution Networks for Monitoring Agricultural Vegetation.
Florin Sala, Cosmin Alin Popescu, Mihai Valentin Herbei & Ciprian Rujescu. (2020) Model of Color Parameters Variation and Correction in Relation to “Time-View” Image Acquisition Effects in Wheat Crop. Sustainability 12:6, pages 2470.
Crossref
Crossref
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.
Crossref
Crossref
Sercan Gülci. (2019) The determination of some stand parameters using SfM-based spatial 3D point cloud in forestry studies: an analysis of data production in pure coniferous young forest stands. Environmental Monitoring and Assessment 191:8.
Crossref
Crossref
Rachel Lugassi, Eli Zaady, Naftaly Goldshleger, Maxim Shoshany & Alexandra Chudnovsky. (2019) Spatial and Temporal Monitoring of Pasture Ecological Quality: Sentinel-2-Based Estimation of Crude Protein and Neutral Detergent Fiber Contents. Remote Sensing 11:7, pages 799.
Crossref
Crossref
V. Ganchenko & A. Doudkin. (2019) Agricultural Vegetation Monitoring Based on Aerial Data Using Convolutional Neural Networks. Optical Memory and Neural Networks 28:2, pages 129-134.
Crossref
Crossref
Norman Wilke, Bastian Siegmann, Lasse Klingbeil, Andreas Burkart, Thorsten Kraska, Onno Muller, Anna van Doorn, Sascha Heinemann & Uwe Rascher. (2019) Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach. Remote Sensing 11:5, pages 515.
Crossref
Crossref
Enric Fernández, Gil Gorchs & Lydia Serrano. (2019) Use of consumer-grade cameras to assess wheat N status and grain yield. PLOS ONE 14:2, pages e0211889.
Crossref
Crossref
Valentin Ganchenko & Alexander Doudkin. 2019. Pattern Recognition and Information Processing. Pattern Recognition and Information Processing
52
63
.
Francelino A. Rodrigues, Gerald Blasch, Pierre BlasDefournych, J. Ivan Ortiz-Monasterio, Urs Schulthess, Pablo J. Zarco-Tejada, James A. Taylor & Bruno Gérard. (2018) Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content. Remote Sensing 10:6, pages 930.
Crossref
Crossref
Sadeepa Jayathunga, Toshiaki Owari & Satoshi Tsuyuki. (2018) Evaluating the Performance of Photogrammetric Products Using Fixed-Wing UAV Imagery over a Mixed Conifer–Broadleaf Forest: Comparison with Airborne Laser Scanning. Remote Sensing 10:2, pages 187.
Crossref
Crossref
Kevin F. Bronson, Jeffrey W. White, Matthew M. Conley, Doug J. Hunsaker, Kelly R. Thorp, Andrew N. French, Bruce E. Mackey & Kyle H. Holland. (2017) Active Optical Sensors in Irrigated Durum Wheat: Nitrogen and Water Effects. Agronomy Journal 109:3, pages 1060-1071.
Crossref
Crossref
Lechan Yang, Wenjuan Li, Zhihao Qin, Song Deng & Lili Tu. (2016) Distributed reflectance model mining of leaf nitrogen content by using gene expression programming. Distributed reflectance model mining of leaf nitrogen content by using gene expression programming.
Salima Yousfi, Nassim Kellas, Lila Saidi, Zahra Benlakehal, Lydia Chaou, Djamila Siad, Farid Herda, Mohamed Karrou, Omar Vergara, Adrian Gracia, José Luis Araus & Maria Dolores Serret. (2016) Comparative performance of remote sensing methods in assessing wheat performance under Mediterranean conditions. Agricultural Water Management 164, pages 137-147.
Crossref
Crossref
Adriano Luiz Lodi Rissini, Jackson Kawakami & Aline Marques Genú. (2015) ÍNDICE DE VEGETAÇÃO POR DIFERENÇA NORMALIZADA E PRODUTIVIDADE DE CULTIVARES DE TRIGO SUBMETIDAS A DOSES DE NITROGÊNIO. Revista Brasileira de Ciência do Solo 39:6, pages 1703-1713.
Crossref
Crossref
B.C. Bowman, J. Chen, J. Zhang, J. Wheeler, Y. Wang, W. Zhao, S. Nayak, N. Heslot, H. Bockelman & J.M. Bonman. (2015) Evaluating Grain Yield in Spring Wheat with Canopy Spectral Reflectance. Crop Science 55:5, pages 1881-1890.
Crossref
Crossref
Mei-chen Feng, Lu-jie Xiao, Mei-jun Zhang, Wu-de Yang & Guang-wei Ding. (2014) Integrating Remote Sensing and GIS for Prediction of Winter Wheat (Triticum aestivum) Protein Contents in Linfen (Shanxi), China. PLoS ONE 9:1, pages e80989.
Crossref
Crossref
Wen-Shin Lin, Chwen-Ming Yang & Bo-Jein Kuo. (2012) Classifying cultivars of rice (Oryza sativa L.) based on corrected canopy reflectance spectra data using the orthogonal projections to latent structures (O-PLS) method. Chemometrics and Intelligent Laboratory Systems 115, pages 25-36.
Crossref
Crossref
Liangliang Jia, Zihui Yu, Fei Li, Martin Gnyp, Wolfgang Koppe, Georg Bareth, Yuxin Miao, Xinping Chen & Fusuo Zhang. 2012. Computer and Computing Technologies in Agriculture V. Computer and Computing Technologies in Agriculture V
174
184
.
José P. Molin, Flávia R. Frasson, Lucas R. Amaral, Fabrício P. Povh & José V. Salvi. (2010) Capacidade de um sensor ótico em quantificar a resposta da cana-de-açúcar a doses de nitrogênio. Revista Brasileira de Engenharia Agrícola e Ambiental 14:12, pages 1345-1349.
Crossref
Crossref
Xiaoming Yao, Wencai Du, Siling Feng & Jun Zou. (2010) Image-based plant nutrient status analysis: An overview. Image-based plant nutrient status analysis: An overview.
Wenhua ZhangYinghai KeLindi J. QuackenbushLianjun Zhang. (2010) Using error-in-variable regression to predict tree diameter and crown width from remotely sensed imagery. Canadian Journal of Forest Research 40:6, pages 1095-1108.
Crossref
Crossref
Z. Yang, M.N. Rao, N.C. Elliott, S.D. Kindler & T.W. Popham. (2009) Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing. Computers and Electronics in Agriculture 67:1-2, pages 64-70.
Crossref
Crossref
Nicolas Tremblay, Zhijie Wang, Bao-Luo Ma, Carl Belec & Philippe Vigneault. (2008) A comparison of crop data measured by two commercial sensors for variable-rate nitrogen application. Precision Agriculture 10:2, pages 145-161.
Crossref
Crossref
Fabrício Pinheiro Povh, José Paulo Molin, Leandro Maria Gimenez, Volnei Pauletti, Rudimar Molin & José Vitor Salvi. (2008) Comportamento do NDVI obtido por sensor ótico ativo em cereais. Pesquisa Agropecuária Brasileira 43:8, pages 1075-1083.
Crossref
Crossref