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ORCIDGerrit Hoogenboom
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2020 – today
- 2024
[j31]Maryam Nadafzadeh, Ahmad Banakar
, Saman Abdanan Mehdizadeh, Mohammad Reza Zare Bavani, Saeid Minaei, Gerrit Hoogenboom:
Design, fabrication and evaluation of a robot for plant nutrient monitoring in greenhouse (case study: Iron nutrient in spinach). Comput. Electron. Agric. 217: 108579 (2024)- [j30]Fitsum T. Teshome, Haimanote K. Bayabil, Bruce Schaffer, Yiannis Ampatzidis, Gerrit Hoogenboom, Aditya Singh:
Simulating soil hydrologic dynamics using crop growth and machine learning models. Comput. Electron. Agric. 224: 109186 (2024) - [j29]Fitsum T. Teshome, Haimanote K. Bayabil, Bruce Schaffer, Yiannis Ampatzidis, Gerrit Hoogenboom:
Improving soil moisture prediction with deep learning and machine learning models. Comput. Electron. Agric. 226: 109414 (2024) - [j28]Thiago Berton Ferreira, Vakhtang Shelia, Cheryl Porter, Patricia Moreno Cadena, Montserrat Salmeron Cortasa, Muhammad Sohail Khan, Willingthon Pavan, Gerrit Hoogenboom:
Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients. Comput. Electron. Agric. 227: 109513 (2024) - 2023
- [j27]Fitsum T. Teshome, Haimanote K. Bayabil, Gerrit Hoogenboom, Bruce Schaffer, Aditya Singh, Yiannis Ampatzidis:
Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping. Comput. Electron. Agric. 212: 108064 (2023) - [j26]Cyrille Ahmed Midingoyi, Christophe Pradal, Andreas Enders, Davide Fumagalli, Patrice Lecharpentier, Hélène Raynal, Marcello Donatelli, Davide Fanchini, Ioannis N. Athanasiadis, Cheryl H. Porter, Gerrit Hoogenboom, Fabio A. A. Oliveira, Dean P. Holzworth, Pierre Martre:
Crop modeling frameworks interoperability through bidirectional source code transformation. Environ. Model. Softw. 168: 105790 (2023) - 2022
- [j25]Alireza Araghi, Christopher J. Martinez, Jørgen Eivind Olesen, Gerrit Hoogenboom:
Assessment of nine gridded temperature data for modeling of wheat production systems. Comput. Electron. Agric. 199: 107189 (2022) - 2021
- [j24]Cyrille Ahmed Midingoyi, Christophe Pradal, Andreas Enders, Davide Fumagalli, Hélène Raynal, Marcello Donatelli, Ioannis N. Athanasiadis, Cheryl H. Porter, Gerrit Hoogenboom, Dean P. Holzworth, Frédérick Garçia, Peter J. Thorburn, Pierre Martre:
Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components. Environ. Model. Softw. 142: 105055 (2021) - [j23]Daniel Wallach, Taru Palosuo, Peter J. Thorburn, Zvi Hochman, Emmanuelle Gourdain, Fety Andrianasolo, Senthold Asseng, Bruno Basso, Samuel Buis, Neil Crout, Camilla Dibari, Benjamin Dumont, Roberto Ferrise, Thomas Gaiser, Cecile Garcia, Sebastian Gayler, Afshin Ghahramani, Santosh Hiremath, Steven Hoek, Heidi Horan, Gerrit Hoogenboom, Mingxia Huang, Mohamed Jabloun, Per-Erik Jansson, Qi Jing, Eric Justes, Kurt Christian Kersebaum, Anne Klosterhalfen, Marie Launay, Elisabet Lewan, Qunying Luo, Bernardo Maestrini, Henrike Mielenz, Marco Moriondo, Hasti Nariman Zadeh, Gloria Padovan, Jørgen Eivind Olesen, Arne Poyda, Eckart Priesack, Johannes W. M. Pullens, Budong Qian, Niels Schütze, Vakhtang Shelia, Amir Souissi, Xenia Specka, Amit Kumar Srivastava, Tommaso Stella, Thilo Streck, Giacomo Trombi, Evelyn Wallor, Jing Wang, Tobias K. D. Weber, Lutz Weihermüller, Allard de Wit, Thomas Wöhling, Liujun Xiao, Chuang Zhao, Yan Zhu, Sabine J. Seidel:
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. Environ. Model. Softw. 145: 105206 (2021) - 2020
- [j22]Vakhtang Shelia, Gerrit Hoogenboom:
A new approach to clustering soil profile data using the modified distance matrix. Comput. Electron. Agric. 176: 105631 (2020)
2010 – 2019
- 2019
- [j21]Jonathan Richetti, Kenneth J. Boote, Gerrit Hoogenboom, Jasmeet Judge, Jerry Adriani Johann, Miguel Angel Uribe-Opazo:
Remotely sensed vegetation index and LAI for parameter determination of the CSM-CROPGRO-Soybean model when in situ data are not available. Int. J. Appl. Earth Obs. Geoinformation 79: 110-115 (2019) - [j20]Vakhtang Shelia, James Hansen, Vaishali Sharda, Cheryl H. Porter, Pramod Aggarwal, Carol J. Wilkerson, Gerrit Hoogenboom:
A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies. Environ. Model. Softw. 115: 144-154 (2019) - [j19]Jonas de Abreu Resenes, Willingthon Pavan, Carlos Amaral Hölbig, José Maurício Cunha Fernandes, Vakhtang Shelia, Cheryl H. Porter, Gerrit Hoogenboom:
jDSSAT: A JavaScript Module for DSSAT-CSM integration. SoftwareX 10: 100271 (2019) - 2018
- [j18]Kwang Soo Kim, Byung Hyun Yoo, Vakhtang Shelia, Cheryl H. Porter, Gerrit Hoogenboom:
START: A data preparation tool for crop simulation models using web-based soil databases. Comput. Electron. Agric. 154: 256-264 (2018) - 2016
- [j17]Mukhtar Ahmed, Mustazhar Nasib Akram, Muhammad Asim, Muhammad Aslam, Fayyaz-ul Hassan, Stewart Higgins, Claudio O. Stöckle, Gerrit Hoogenboom:
Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application. Comput. Electron. Agric. 123: 384-401 (2016) - [j16]G. Badr, Levente J. Klein, Marcus Freitag, Conrad M. Albrecht, Fernando J. Marianno, Siyuan Lu, Xiaoyan Shao, Nigel Hinds, Gerrit Hoogenboom, Hendrik F. Hamann:
Toward large-scale crop production forecasts for global food security. IBM J. Res. Dev. 60(5/6): 5:1-5:11 (2016) - 2015
- [j15]Ioannis N. Athanasiadis, Sander Janssen, Dean P. Holzworth, Peter J. Thorburn, Marcello Donatelli, Valerie O. Snow, Gerrit Hoogenboom, Jeffrey W. White:
Thematic issue on agricultural systems modelling and software - Part II. Environ. Model. Softw. 72: 274-275 (2015) - [j14]Dean P. Holzworth, Val Snow, Sander Janssen, Ioannis N. Athanasiadis, Marcello Donatelli, Gerrit Hoogenboom, Jeffrey W. White, Peter J. Thorburn:
Agricultural production systems modelling and software: Current status and future prospects. Environ. Model. Softw. 72: 276-286 (2015) - [j13]Richard T. McNider, C. Handyside, K. Doty, Water Lee Ellenburg, James F. Cruise, John R. Christy, D. Moss, Vaishali Sharda, Gerrit Hoogenboom, Peter Caldwell:
An integrated crop and hydrologic modeling system to estimate hydrologic impacts of crop irrigation demands. Environ. Model. Softw. 72: 341-355 (2015) - [j12]Kurt Christian Kersebaum, Kenneth J. Boote, J. S. Jorgenson, Claas Nendel, Marco Bindi, C. Frühauf, Thomas Gaiser, Gerrit Hoogenboom, C. Kollas, Jørgen Eivind Olesen, Reimund P. Rötter, Françoise Ruget, Peter J. Thorburn, Marián Trnka, Martin Wegehenkel:
Analysis and classification of data sets for calibration and validation of agro-ecosystem models. Environ. Model. Softw. 72: 402-417 (2015) - 2013
- [j11]Karthik Nadig, Walter D. Potter, Gerrit Hoogenboom, Ronald W. McClendon:
Comparison of individual and combined ANN models for prediction of air and dew point temperature. Appl. Intell. 39(2): 354-366 (2013) - [j10]Siva Venkadesh, Gerrit Hoogenboom, Walter D. Potter, Ronald W. McClendon:
A genetic algorithm to refine input data selection for air temperature prediction using artificial neural networks. Appl. Soft Comput. 13(5): 2253-2260 (2013) - 2012
- [j9]Robert F. Chevalier, Gerrit Hoogenboom, Ronald W. McClendon, Joel O. Paz:
A web-based fuzzy expert system for frost warnings in horticultural crops. Environ. Model. Softw. 35: 84-91 (2012) - [j8]Consuelo C. Romero, Gerrit Hoogenboom, Guillermo A. Baigorria, Jawoo Koo, Arjan J. Gijsman, Stanley Wood:
Reanalysis of a global soil database for crop and environmental modeling. Environ. Model. Softw. 35: 163-170 (2012) - 2011
- [j7]Robert F. Chevalier, Gerrit Hoogenboom, Ronald W. McClendon, Joel A. Paz:
Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks. Neural Comput. Appl. 20(1): 151-159 (2011) - 2010
- [j6]Kenneth J. Boote, Jim W. Jones, Gerrit Hoogenboom, Jeffrey W. White:
The Role of Crop Systems Simulation in Agriculture and Environment. Int. J. Agric. Environ. Inf. Syst. 1(1): 41-54 (2010) - [j5]Sudhanshu Sekhar Panda, Gerrit Hoogenboom, Joel O. Paz:
Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review. Remote. Sens. 2(8): 1973-1997 (2010)
2000 – 2009
- 2008
- [j4]Daniel B. Shank, Ronald W. McClendon, Joel A. Paz, Gerrit Hoogenboom:
Ensemble Artificial Neural Networks for Prediction of Dew Point temperature. Appl. Artif. Intell. 22(6): 523-542 (2008) - [j3]Mohammad Bannayan, Gerrit Hoogenboom:
Weather analogue: A tool for real-time prediction of daily weather data realizations based on a modified k-nearest neighbor approach. Environ. Model. Softw. 23(6): 703-713 (2008) - 2005
- [c5]Brian A. Smith, Ronald W. McClendon, Gerrit Hoogenboom:
An Enhanced Artificial Neural Network for Air Temperature Prediction. IEC (Prague) 2005: 7-12 - 2004
- [c4]Shunlin Liang, Hongliang Fang, Gerrit Hoogenboom, John Teasdale, Michel A. Cavigelli:
Estimation of crop yield at the regional scale from MODIS observations. IGARSS 2004: 1625-1628 - 2000
- [j2]C. E. Henderson, Walter D. Potter, Ronald W. McClendon, Gerrit Hoogenboom:
Predicting Aflatoxin Contamination in Peanuts: A Genetic Algorithm/Neural Network Approach. Appl. Intell. 12(3): 183-192 (2000)
1990 – 1999
- 1999
- [j1]Goshko A. Georgiev, Gerrit Hoogenboom:
Near Real-Time Agricultural Simulations on the Web. Simul. 73(1): 22-28 (1999) - 1998
- [c3]C. E. Henderson, Walter D. Potter, Ronald W. McClendon, Gerrit Hoogenboom:
Aflatoxin Prediction Using a GA Trained Neural Network. FLAIRS 1998: 110-114 - [c2]C. E. Henderson, Walter D. Potter, Ronald W. McClendon, Gerrit Hoogenboom:
Using a Genetic Algorithm to Select Parameters for a Neural Network That Predicts Aflatoxin Contamination in Peanuts. IEA/AIE (Vol. 1) 1998: 460-469 - 1994
- [c1]Hong Xiang, Brahm P. Verma, Gerrit Hoogenboom:
Fuzzy Irrigation Decision Support System. AAAI 1994: 1499
Coauthor Index
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