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Read on this site (12)
Thobeka P Khumalo, Annelie Barnard, Ernest Dube & Toi J Tsilo. (2022) Characterization of vegetative vigor of two doubled-haploid wheat populations. Journal of Crop Improvement 36:3, pages 350-368.
Read now
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Miguel Garriga, Sebastián Romero-Bravo, Félix Estrada, Ana M. Méndez-Espinoza, Luis González-Martínez, Iván A. Matus, Dalma Castillo, Gustavo A. Lobos & Alejandro Del Pozo. (2021) Estimating carbon isotope discrimination and grain yield of bread wheat grown under water-limited and full irrigation conditions by hyperspectral canopy reflectance and multilinear regression analysis. International Journal of Remote Sensing 42:8, pages 2848-2871.
Read now
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Sarah Olanrewaju, Nithya Rajan, Amir M.H. Ibrahim, Jackie C. Rudd, Shuyu Liu, Ruixiu Sui, Kirk E. Jessup & Qingwu Xue. (2019) Using aerial imagery and digital photography to monitor growth and yield in winter wheat. International Journal of Remote Sensing 40:18, pages 6905-6929.
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Sushil Thapa, Jackie C. Rudd, Qingwu Xue, Mahendra Bhandari, Srirama K. Reddy, Kirk E. Jessup, Shuyu Liu, Ravindra N. Devkota, Jason Baker & Shannon Baker. (2019) Use of NDVI for characterizing winter wheat response to water stress in a semi-arid environment. Journal of Crop Improvement 33:5, pages 633-648.
Read now
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Eszter Nemeskéri, Krisztina Molnár & Lajos Helyes. (2018) Relationships of spectral traits with yield and nutritional quality of snap beans (Phaseolus vulgaris L.) in dry seasons. Archives of Agronomy and Soil Science 64:9, pages 1222-1239.
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S. Ajayi, S. K. Reddy, P. H. Gowda, Q. Xue, J. C. Rudd, G. Pradhan, S. Liu, B. A. Stewart, C. Biradar & K. E. Jessup. (2016) Spectral Reflectance Models for Characterizing Winter Wheat Genotypes. Journal of Crop Improvement 30:2, pages 176-195.
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Mario Gutierrez, Matthew Paul Reynolds & Arthur Raymond Klatt. (2015) Effect of leaf and spike morphological traits on the relationship between spectral reflectance indices and yield in wheat. International Journal of Remote Sensing 36:3, pages 701-718.
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José
Luis Araus, GustavoA. Slafer, Conxita Royo & M.
Dolores Serret. (2008) Breeding for Yield Potential and Stress Adaptation in Cereals. Critical Reviews in Plant Sciences 27:6, pages 377-412.
Read now
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Lenny Wall, Denis Larocque & Pierre‐Majorique Léger. (2008) The early explanatory power of NDVI in crop yield modelling. International Journal of Remote Sensing 29:8, pages 2211-2225.
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F. Alvaro, L. F. García del Moral & C. Royo. (2007) Usefulness of remote sensing for the assessment of growth traits in individual cereal plants grown in the field. International Journal of Remote Sensing 28:11, pages 2497-2512.
Read now
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M. Luisa España‐Boquera, Raúl Cárdenas‐Navarro, Luis López‐Pérez, Vilma Castellanos‐Morales & Philippe Lobit. (2006) Estimating the Nitrogen Concentration of Strawberry Plants from Its Spectral Response. Communications in Soil Science and Plant Analysis 37:15-20, pages 2447-2459.
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SergioM. Vicente‐Serrano, JoséM. Cuadrat‐Prats & Alfredo Romo. (2006) Early prediction of crop production using drought indices at different time‐scales and remote sensing data: application in the Ebro Valley (north‐east Spain). International Journal of Remote Sensing 27:3, pages 511-518.
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Articles from other publishers (94)
Sándor Zsebő, László Bede, Gábor Kukorelli, István Mihály Kulmány, Gábor Milics, Dávid Stencinger, Gergely Teschner, Zoltán Varga, Viktória Vona & Attila József Kovács. (2024) Yield Prediction Using NDVI Values from GreenSeeker and MicaSense Cameras at Different Stages of Winter Wheat Phenology. Drones 8:3, pages 88.
Crossref
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Tumaini Erasto Robert Mazengo, Zhongying Guo, Xiaoying Liu, Yingnan Wu, Yuzhong Li & Catherine Gwandu. (2023) Effects of irrigation and rainfed practices on Normalized Difference Vegetative Index of Wheat (Triticum aestivum L.) and its Implications on Grain Yield in Northern China. Environmental Systems Research 12:1.
Crossref
Crossref
Xi Su, Jiacheng Wang, Lu Ding, Jingshan Lu, Jiawen Zhang, Xia Yao, Tao Cheng, Yan Zhu, Weixing Cao & Yongchao Tian. (2023) Grain yield prediction using multi-temporal UAV-based multispectral vegetation indices and endmember abundance in rice. Field Crops Research 299, pages 108992.
Crossref
Crossref
Anish Sapkota, Amir Haghverdi & Ali Montazar. (2023)
Estimating fall‐harvested alfalfa (
Medicago sativa
L.) yield using unmanned aerial vehicle–based multispectral and thermal images in southern California
. Agrosystems, Geosciences & Environment 6:2.
Crossref
Crossref
Dessislava Ganeva, Eugenia Roumenina, Petar Dimitrov, Alexander Gikov, Georgi Jelev, Boryana Dyulgenova, Darina Valcheva & Violeta Bozhanova. (2023) Remotely Sensed Phenotypic Traits for Heritability Estimates and Grain Yield Prediction of Barley Using Multispectral Imaging from UAVs. Sensors 23:11, pages 5008.
Crossref
Crossref
Lukas Prey, Ludwig Ramgraber, Johannes Seidl-Schulz, Anja Hanemann & Patrick Ole Noack. (2023) The Transferability of Spectral Grain Yield Prediction in Wheat Breeding across Years and Trial Locations. Sensors 23:8, pages 4177.
Crossref
Crossref
Yu Jiang, Huijuan Wei, Shengxi Hou, Xuebo Yin, Shanshan Wei & Dong Jiang. (2023) Estimation of Maize Yield and Protein Content under Different Density and N Rate Conditions Based on UAV Multi-Spectral Images. Agronomy 13:2, pages 421.
Crossref
Crossref
Mohammed Mohi-Ud-Din, Md. Alamgir Hossain, Md. Motiar Rohman, Md. Nesar Uddin, Md. Sabibul Haque, Jalal Uddin Ahmed, Hasan Muhammad Abdullah, Mohammad Anwar Hossain & Mohammad Pessarakli. (2022) Canopy spectral reflectance indices correlate with yield traits variability in bread wheat genotypes under drought stress. PeerJ 10, pages e14421.
Crossref
Crossref
Yuefan Zhang, Lunche Wang, Xinxin Chen, Yuting Liu, Shaoqiang Wang & Lizhe Wang. (2022) Prediction of winter wheat yield at county level in China using ensemble learning. Progress in Physical Geography: Earth and Environment 46:5, pages 676-696.
Crossref
Crossref
Gurjeet Singh & Narendra N. Das. (2022) A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions. Science of The Total Environment 837, pages 155893.
Crossref
Crossref
Asier Uribeetxebarria, Ander Castellón & Ana Aizpurua. (2022) A First Approach to Determine If It Is Possible to Delineate In-Season N Fertilization Maps for Wheat Using NDVI Derived from Sentinel-2. Remote Sensing 14:12, pages 2872.
Crossref
Crossref
Chaofa Bian, Hongtao Shi, Suqin Wu, Kefei Zhang, Meng Wei, Yindi Zhao, Yaqin Sun, Huifu Zhuang, Xuewei Zhang & Shuo Chen. (2022) Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data. Remote Sensing 14:6, pages 1474.
Crossref
Crossref
Zongpeng Li, Zhen Chen, Qian Cheng, Fuyi Duan, Ruixiu Sui, Xiuqiao Huang & Honggang Xu. (2022) UAV-Based Hyperspectral and Ensemble Machine Learning for Predicting Yield in Winter Wheat. Agronomy 12:1, pages 202.
Crossref
Crossref
Xuzhou Qu, Dong Shi, Xiaohe Gu, Qian Sun, Xueqian Hu, Xin Yang & Yuchun Pan. (2022) Monitoring Lodging Extents of Maize Crop Using Multitemporal GF-1 Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 3800-3814.
Crossref
Crossref
Gustavo A. Lobos, Félix Estrada, Alejandro del Pozo, Sebastián Romero-Bravo, Cesar A. Astudillo & Freddy Mora-Poblete. 2022. High-Throughput Plant Phenotyping. High-Throughput Plant Phenotyping
135
157
.
Salah El-Hendawy, Nasser Al-Suhaibani, Muhammad Mubushar, Muhammad Usman Tahir, Yahya Refay & ElKamil Tola. (2021) Potential Use of Hyperspectral Reflectance as a High-Throughput Nondestructive Phenotyping Tool for Assessing Salt Tolerance in Advanced Spring Wheat Lines under Field Conditions. Plants 10:11, pages 2512.
Crossref
Crossref
Rubén Rufo, Andrea López, Marta S. Lopes, Joaquim Bellvert & Jose M. Soriano. (2021) Identification of Quantitative Trait Loci Hotspots Affecting Agronomic Traits and High-Throughput Vegetation Indices in Rainfed Wheat. Frontiers in Plant Science 12.
Crossref
Crossref
Matthias Wengert, Hans-Peter Piepho, Thomas Astor, Rüdiger Graß, Jayan Wijesingha & Michael Wachendorf. (2021) Assessing Spatial Variability of Barley Whole Crop Biomass Yield and Leaf Area Index in Silvoarable Agroforestry Systems Using UAV-Borne Remote Sensing. Remote Sensing 13:14, pages 2751.
Crossref
Crossref
David Gómez-Candón, Joaquim Bellvert & Conxita Royo. (2021) Performance of the Two-Source Energy Balance (TSEB) Model as a Tool for Monitoring the Response of Durum Wheat to Drought by High-Throughput Field Phenotyping. Frontiers in Plant Science 12.
Crossref
Crossref
Rubén Rufo, Jose Miguel Soriano, Dolors Villegas, Conxita Royo & Joaquim Bellvert. (2021) Using Unmanned Aerial Vehicle and Ground-Based RGB Indices to Assess Agronomic Performance of Wheat Landraces and Cultivars in a Mediterranean-Type Environment. Remote Sensing 13:6, pages 1187.
Crossref
Crossref
Jarrod O. Miller & James Adkins. (2021) Monitoring winter wheat growth at different heights using aerial imagery. Agronomy Journal 113:2, pages 1586-1595.
Crossref
Crossref
Zhonglin Wang, Junxu Chen, Jiawei Zhang, Yuanfang Fan, Yajiao Cheng, Beibei Wang, Xiaoling Wu, Xianming Tan, Tingting Tan, Shenglan Li, Muhammad Ali Raza, Xiaochun Wang, Taiwen Yong, Weiguo Liu, Jiang Liu, Junbo Du, Yushan Wu, Wenyu Yang & Feng Yang. (2021) Predicting grain yield and protein content using canopy reflectance in maize grown under different water and nitrogen levels. Field Crops Research 260, pages 107988.
Crossref
Crossref
Ediz UNAL, Hakan YILDIZ, Ali MERMER & Metin AYDOGDU. (2020) Yield Estimation of Winter Wheat in Pre-harvest Season by Satellite Imagery Based Regression Models. Turkish Journal of Agricultural Engineering Research, pages 390-403.
Crossref
Crossref
Rut Sanchez-Bragado, Maria Newcomb, Fadia Chairi, Giuseppe Emanuele Condorelli, Richard W. Ward, Jeffrey W. White, Marco Maccaferri, Roberto Tuberosa, Jose Luis Araus & Maria Dolors Serret Molins. (2020) Carbon Isotope Composition and the NDVI as Phenotyping Approaches for Drought Adaptation in Durum Wheat: Beyond Trait Selection. Agronomy 10:11, pages 1679.
Crossref
Crossref
Saïd Khabba, Salah Er-Raki, Jihad Toumi, Jamal Ezzahar, Bouchra Ait Hssaine, Michel Le Page & Abdelghani Chehbouni. (2020) A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid Areas. Agronomy 10:10, pages 1524.
Crossref
Crossref
Marta Aranguren, Ander Castellón & Ana Aizpurua. (2020) Crop Sensor Based Non-destructive Estimation of Nitrogen Nutritional Status, Yield, and Grain Protein Content in Wheat. Agriculture 10:5, pages 148.
Crossref
Crossref
Jia Guo, Sumit Pradhan, Dipendra Shahi, Jahangir Khan, Jordan Mcbreen, Guihua Bai, J. Paul Murphy & Md Ali Babar. (2020) Increased Prediction Accuracy Using Combined Genomic Information and Physiological Traits in A Soft Wheat Panel Evaluated in Multi-Environments. Scientific Reports 10:1.
Crossref
Crossref
Marco Milan, Silvia Fogliatto, Massimo Blandino & Francesco Vidotto. (2020) Are Wheat Hybrids More Affected by Weed Competition than Conventional Cultivars?. Agronomy 10:4, pages 526.
Crossref
Crossref
Mohammed Naser, Raj Khosla, Louis Longchamps & Subash Dahal. (2020) Using NDVI to Differentiate Wheat Genotypes Productivity Under Dryland and Irrigated Conditions. Remote Sensing 12:5, pages 824.
Crossref
Crossref
Lukas Prey, Yuncai Hu & Urs Schmidhalter. (2020) High-Throughput Field Phenotyping Traits of Grain Yield Formation and Nitrogen Use Efficiency: Optimizing the Selection of Vegetation Indices and Growth Stages. Frontiers in Plant Science 10.
Crossref
Crossref
M. Garriga, C. Ovalle, S. Espinoza, G. A. Lobos & A. del Pozo. (2020) Use of Vis–NIR reflectance data and regression models to estimate physiological and productivity traits in lucerne (Medicago sativa). Crop and Pasture Science 71:1, pages 90.
Crossref
Crossref
Salah E. El-Hendawy, Majed Alotaibi, Nasser Al-Suhaibani, Khalid Al-Gaadi, Wael Hassan, Yaser Hassan Dewir, Mohammed Abd El-Gawad Emam, Salah Elsayed & Urs Schmidhalter. (2019) Comparative Performance of Spectral Reflectance Indices and Multivariate Modeling for Assessing Agronomic Parameters in Advanced Spring Wheat Lines Under Two Contrasting Irrigation Regimes. Frontiers in Plant Science 10.
Crossref
Crossref
Xiaoyan Zhang, Jinming Zhao, Guijun Yang, Jiangang Liu, Jiqiu Cao, Chunyan Li, Xiaoqing Zhao & Junyi Gai. (2019) Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing. Remote Sensing 11:23, pages 2752.
Crossref
Crossref
Battsetseg Tuvdendorj, Bingfang Wu, Hongwei Zeng, Gantsetseg Batdelger & Lkhagvadorj Nanzad. (2019) Determination of Appropriate Remote Sensing Indices for Spring Wheat Yield Estimation in Mongolia. Remote Sensing 11:21, pages 2568.
Crossref
Crossref
Hesham Abd-El Monsef, Scot E. Smith, Diane L. Rowland & Nader Abd El Rasol. (2019) Using multispectral imagery to extract a pure spectral canopy signature for predicting peanut maturity. Computers and Electronics in Agriculture 162, pages 561-572.
Crossref
Crossref
Salima Yousfi, Adrian Gracia-Romero, Nassim Kellas, Mohamed Kaddour, Ahmed Chadouli, Mohamed Karrou, José Luis Araus & Maria Dolores Serret. (2019) Combined Use of Low-Cost Remote Sensing Techniques and δ13C to Assess Bread Wheat Grain Yield under Different Water and Nitrogen Conditions. Agronomy 9:6, pages 285.
Crossref
Crossref
Matthew Maimaitiyiming, Vasit Sagan, Paheding Sidike & Misha Kwasniewski. (2019) Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality. Remote Sensing 11:7, pages 740.
Crossref
Crossref
Caiyun LIU, Francisco PINTO, C. Mariano COSSANI, Sivakumar SUKUMARAN & Matthew P. REYNOLDS. (2019) Spectral reflectance indices as proxies for yield potential and heat stress tolerance in spring wheat: heritability estimates and marker-trait associations. Frontiers of Agricultural Science and Engineering 6:3, pages 296.
Crossref
Crossref
Bruno Basso & Lin Liu. 2019.
201
255
.
Meng Li, Ronghao Chu, Qian Yu, Abu Islam, Shuren Chou & Shuanghe Shen. (2018) Evaluating Structural, Chlorophyll-Based and Photochemical Indices to Detect Summer Maize Responses to Continuous Water Stress. Water 10:4, pages 500.
Crossref
Crossref
S. Sridevy, Anna Saro Vijendran, R. Jagadeeswaran & M. Djanaguiraman. (2018) Nitrogen and potassium deficiency identification in maize by image mining, spectral and true colour response. Indian Journal of Plant Physiology 23:1, pages 91-99.
Crossref
Crossref
Reza Mohammadi. (2018) Breeding for increased drought tolerance in wheat: a review. Crop and Pasture Science 69:3, pages 223.
Crossref
Crossref
Cesar Mariano Cossani & Victor O. Sadras. 2018.
231
274
.
Shenkui Shi, Farooq I. Azam, Huihui Li, Xiaoping Chang, Baoyun Li & Ruilian Jing. (2017) Mapping QTL for stay-green and agronomic traits in wheat under diverse water regimes. Euphytica 213:11.
Crossref
Crossref
Gero Barmeier, Katharina Hofer & Urs Schmidhalter. (2017) Mid-season prediction of grain yield and protein content of spring barley cultivars using high-throughput spectral sensing. European Journal of Agronomy 90, pages 108-116.
Crossref
Crossref
Luis Guilherme Teixeira Crusiol, Josirley de Fátima Corrêa Carvalho, Rubson Natal Ribeiro Sibaldelli, Walkyria Neiverth, Alexandre do Rio, Leonardo Cesar Ferreira, Sergio de Oliveira Procópio, Liliane Márcia Mertz-Henning, Alexandre Lima Nepomuceno, Norman Neumaier & José Renato Bouças Farias. (2016) NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars. Precision Agriculture 18:4, pages 470-490.
Crossref
Crossref
Salah Elsayed, Mohamed Elhoweity, Hazem H. Ibrahim, Yaser Hassan Dewir, Hussein M. Migdadi & Urs Schmidhalter. (2017) Thermal imaging and passive reflectance sensing to estimate the water status and grain yield of wheat under different irrigation regimes. Agricultural Water Management 189, pages 98-110.
Crossref
Crossref
Angelos C. Kyratzis, Dimitrios P. Skarlatos, George C. Menexes, Vasileios F. Vamvakousis & Andreas Katsiotis. (2017) Assessment of Vegetation Indices Derived by UAV Imagery for Durum Wheat Phenotyping under a Water Limited and Heat Stressed Mediterranean Environment. Frontiers in Plant Science 8.
Crossref
Crossref
Miguel Garriga, Sebastián Romero-Bravo, Félix Estrada, Alejandro Escobar, Iván A. Matus, Alejandro del Pozo, Cesar A. Astudillo & Gustavo A. Lobos. (2017) Assessing Wheat Traits by Spectral Reflectance: Do We Really Need to Focus on Predicted Trait-Values or Directly Identify the Elite Genotypes Group?. Frontiers in Plant Science 8.
Crossref
Crossref
I. L. Goldman & Rodomiro OrtizHarindra S. Balyan, Vijay Gahlaut, Anuj Kumar, Vandana Jaiswal, Raman Dhariwal, Sandhya Tyagi, Priyanka Agarwal, Supriya Kumari & Pushpendra K. Gupta. 2016. Plant Breeding Reviews. Plant Breeding Reviews
167
234
.
Pablo Rischbeck, Salah Elsayed, Bodo Mistele, Gero Barmeier, Kurt Heil & Urs Schmidhalter. (2016) Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley. European Journal of Agronomy 78, pages 44-59.
Crossref
Crossref
Michiel Stas, Jos Van Orshoven, Qinghan Dong, Stien Heremans & Beier Zhang. (2016) A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT. A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT.
Brent S. Christenson, William T. SchapaughJr.Jr., Nan An, Kevin P. Price, Vara Prasad & Allan K. Fritz. (2016) Predicting Soybean Relative Maturity and Seed Yield Using Canopy Reflectance. Crop Science 56:2, pages 625-643.
Crossref
Crossref
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
Victoria Gonzalez-Dugo, Pilar Hernandez, Ignacio Solis & Pablo Zarco-Tejada. (2015) Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping. Remote Sensing 7:10, pages 13586-13605.
Crossref
Crossref
Ramanjit Kaur, Bhupinder Singh, Manjeet Singh & S. K. Thind. (2015) Hyperspectral Indices, Correlation and Regression Models for Estimating Growth Parameters of Wheat Genotypes. Journal of the Indian Society of Remote Sensing 43:3, pages 551-558.
Crossref
Crossref
Salah Elsayed, Pablo Rischbeck & Urs Schmidhalter. (2015) Comparing the performance of active and passive reflectance sensors to assess the normalized relative canopy temperature and grain yield of drought-stressed barley cultivars. Field Crops Research 177, pages 148-160.
Crossref
Crossref
Javier Hernandez, Gustavo Lobos, Iván Matus, Alejandro del Pozo, Paola Silva & Mauricio Galleguillos. (2015) Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes. Remote Sensing 7:2, pages 2109-2126.
Crossref
Crossref
Brent S. Christenson, William T. SchapaughJr.Jr., Nan An, Kevin P. Price & Allan K. Fritz. (2014) Characterizing Changes in Soybean Spectral Response Curves with Breeding Advancements. Crop Science 54:4, pages 1585-1597.
Crossref
Crossref
V. Hoyos‐Villegas, J.H. Houx, S.K. Singh & F.B. Fritschi. (2014) Ground‐Based Digital Imaging as a Tool to Assess Soybean Growth and Yield. Crop Science 54:4, pages 1756-1768.
Crossref
Crossref
Syeda Refat Sultana, Amjed Ali, Ashfaq Ahmad, Muhammad Mubeen, M. Zia-Ul-Haq, Shakeel Ahmad, Sezai Ercisli & Hawa Z. E. Jaafar. (2014) Normalized Difference Vegetation Index as a Tool for Wheat Yield Estimation: A Case Study from Faisalabad, Pakistan. The Scientific World Journal 2014, pages 1-8.
Crossref
Crossref
Jaume Casadesús & Dolors Villegas. (2013) Conventional digital cameras as a tool for assessing leaf area index and biomass for cereal breeding. Journal of Integrative Plant Biology 56:1, pages 7-14.
Crossref
Crossref
Taibo Liang, Jianwei Wang, Yanling Zhang, Jiaqin Xi, Hanping Zhou, Baolin Wang & Qisheng Yin. 2014. Computer and Computing Technologies in Agriculture VII. Computer and Computing Technologies in Agriculture VII
239
246
.
V. Hoyos‐Villegas & F. B. Fritschi. (2013) Relationships Among Vegetation Indices Derived from Aerial Photographs and Soybean Growth and Yield. Crop Science 53:6, pages 2631-2642.
Crossref
Crossref
Lei WANG, You-Lu BAI, Yan-Li LU, He WANG & Li-Ping YANG. (2013) NDVI Analysis and Yield Estimation in Winter Wheat Based on GreenSeeker. ACTA AGRONOMICA SINICA 38:4, pages 747-753.
Crossref
Crossref
Priscila Pereira Coltri, Jurandir Zullo, Renata Ribeiro do Valle Goncalves, Luciana Alvim S. Romani & Hilton Silveira Pinto. (2013) Coffee Crop's Biomass and Carbon Stock Estimation With Usage of High Resolution Satellites Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6:3, pages 1786-1795.
Crossref
Crossref
Sangam Dwivedi, Kanwar Sahrawat, Hari Upadhyaya & Rodomiro Ortiz. 2013.
1
128
.
P. K. Gupta, H. S. Balyan, V. Gahlaut & P. L. Kulwal. 2012. Plant Breeding Reviews. Plant Breeding Reviews
85
168
.
Marta S. Lopes & Matthew P. Reynolds. (2012) Stay-green in spring wheat can be determined by spectral reflectance measurements (normalized difference vegetation index) independently from phenology. Journal of Experimental Botany 63:10, pages 3789-3798.
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
V.S. Weber, J.L. Araus, J.E. Cairns, C. Sanchez, A.E. Melchinger & E. Orsini. (2012) Prediction of grain yield using reflectance spectra of canopy and leaves in maize plants grown under different water regimes. Field Crops Research 128, pages 82-90.
Crossref
Crossref
Anna Maria Mastrangelo, Elisabetta Mazzucotelli, Davide Guerra, Pasquale De Vita & Luigi Cattivelli. 2012. Crop Stress and its Management: Perspectives and Strategies. Crop Stress and its Management: Perspectives and Strategies
225
259
.
M. Aboelghar, S. Arafat, M. Abo Yousef, M. El-Shirbeny, S. Naeem, A. Massoud & N. Saleh. (2011) Using SPOT data and leaf area index for rice yield estimation in Egyptian Nile delta. The Egyptian Journal of Remote Sensing and Space Science 14:2, pages 81-89.
Crossref
Crossref
Y.P. Dang, M.J. Pringle, M. Schmidt, R.C. Dalal & A. Apan. (2011) Identifying the spatial variability of soil constraints using multi-year remote sensing. Field Crops Research 123:3, pages 248-258.
Crossref
Crossref
J.M. Montes, F. Technow, B.S. Dhillon, F. Mauch & A.E. Melchinger. (2011) High-throughput non-destructive biomass determination during early plant development in maize under field conditions. Field Crops Research 121:2, pages 268-273.
Crossref
Crossref
Abraham BlumAbraham Blum. 2011. Plant Breeding for Water-Limited Environments. Plant Breeding for Water-Limited Environments
153
216
.
Mario Gutierrez, Matthew P. Reynolds, William R. Raun, Marvin L. Stone & Arthur R. Klatt. (2010) Spectral Water Indices for Assessing Yield in Elite Bread Wheat Genotypes under Well‐Irrigated, Water‐Stressed, and High‐Temperature Conditions. Crop Science 50:1, pages 197-214.
Crossref
Crossref
Lênio Soares Galvão, Dar A. Roberts, Antônio Roberto Formaggio, Izaya Numata & Fábio Marcelo Breunig. (2009) View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-nadir Hyperion data. Remote Sensing of Environment 113:4, pages 846-856.
Crossref
Crossref
M. John Foulkes, Matthew P. Reynolds & Roger Sylvester-Bradley. 2009. Crop Physiology. Crop Physiology
355
385
.
Matthew P. Reynolds, Carolina Saint Pierre, Abu S.I. Saad, Mateo Vargas & Anthony G. Condon. (2007) Evaluating Potential Genetic Gains in Wheat Associated with Stress‐Adaptive Trait Expression in Elite Genetic Resources under Drought and Heat Stress. Crop Science 47:S3.
Crossref
Crossref
Li-Hong XUE, Wei-Xing CAO & Lin-Zhang YANG. (2007) Predicting Grain Yield and Protein Content in Winter Wheat at Different N Supply Levels Using Canopy Reflectance Spectra. Pedosphere 17:5, pages 646-653.
Crossref
Crossref
B. Prasad, B. F. Carver, M. L. Stone, M. A. BabarW. R. Raun & A. R. Klatt. (2007) Genetic Analysis of Indirect Selection for Winter Wheat Grain Yield Using Spectral Reflectance Indices. Crop Science 47:4, pages 1416-1425.
Crossref
Crossref
B. Prasad, B. F. Carver, M. L. Stone, M. A. Babar, W. R. Raun & A. R. Klatt. (2007) Potential Use of Spectral Reflectance Indices as a Selection Tool for Grain Yield in Winter Wheat under Great Plains Conditions. Crop Science 47:4, pages 1426-1440.
Crossref
Crossref
J. Marti, J. Bort, G.A. Slafer & J.L. Araus. (2007) Can wheat yield be assessed by early measurements of Normalized Difference Vegetation Index?. Annals of Applied Biology 150:2, pages 253-257.
Crossref
Crossref
J. Casadesús, Y. Kaya, J. Bort, M. M. Nachit, J. L. Araus, S Amor, G. Ferrazzano, F. Maalouf, M. Maccaferri, V. Martos, H. Ouabbou & D. Villegas. (2007) Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water‐limited environments. Annals of Applied Biology 150:2, pages 227-236.
Crossref
Crossref
Duli Zhao, Patrick J. Starks, Michael A. Brown, William A. Phillips & Samuel W. Coleman. (2007) Assessment of forage biomass and quality parameters of bermudagrass using proximal sensing of pasture canopy reflectance. Grassland Science 53:1, pages 39-49.
Crossref
Crossref
M. A. Babar, M. van Ginkel, M. P. Reynolds, B. Prasad & A. R. Klatt. (2007) Heritability, correlated response, and indirect selection involving spectral reflectance indices and grain yield in wheat. Australian Journal of Agricultural Research 58:5, pages 432.
Crossref
Crossref
M. A. Babar, M. van Ginkel, A. R. Klatt, B. Prasad & M. P. Reynolds. (2006) The Potential of Using Spectral Reflectance Indices to Estimate Yield in Wheat Grown Under Reduced Irrigation. Euphytica 150:1-2, pages 155-172.
Crossref
Crossref
M. A. Babar, M. P. Reynolds, M. van Ginkel, A. R. Klatt, W. R. Raun & M. L. Stone. (2006) Spectral Reflectance to Estimate Genetic Variation for In‐Season Biomass, Leaf Chlorophyll, and Canopy Temperature in Wheat. Crop Science 46:3, pages 1046-1057.
Crossref
Crossref
M. A. Babar, M. P. Reynolds, M. van Ginkel, A. R. Klatt, W. R. Raun & M. L. Stone. (2006) Spectral Reflectance Indices as a Potential Indirect Selection Criteria for Wheat Yield under Irrigation. Crop Science 46:2, pages 578-588.
Crossref
Crossref
J.P. Ferrio, D. Villegas, J. Zarco, N. Aparicio, J.L. Araus & C. Royo. (2005) Assessment of durum wheat yield using visible and near-infrared reflectance spectra of canopies. Field Crops Research 94:2-3, pages 126-148.
Crossref
Crossref
GUSTAVO A SLAFER, JOSE L ARAUS, CONXITA ROYO & LUIS F GARCIA MORAL. (2005) Promising eco-physiological traits for genetic improvement of cereal yields in Mediterranean environments. Annals of Applied Biology 146:1, pages 61-70.
Crossref
Crossref
Graeme D. Batten. (2017) Near Infrared Spectroscopy: A Key to More Food, Better Food and a Safer Environment. NIR news 15:2, pages 4-8.
Crossref
Crossref
Mario Gutiérrez-Rodríguez, Matthew Paul Reynolds, José Alberto Escalante-Estrada & María Teresa Rodríguez-González. (2004) Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions. Australian Journal of Agricultural Research 55:11, pages 1139.
Crossref
Crossref