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Nitrogen fertilizers have a detrimental effect on the environment, which can be reduced by optimizing fertilizer management strategies.
Expert-n-a building block system of nitrogen models as resource for advice, research, water management and policy
Thomas Engel and Eckart Priesack · 1993
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Do farmers overuse nitrogen fertilizer to the detriment of the environment?
Satya N. Yadav, Willis Peterson, and K. William Easter · 1997
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Nitrogen fertilizer: Retrospect and prospect
Charles R. Frink, Paul E. Waggoner, and Jesse H. Ausubel · 1999
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An overview of APSIM, a model designed for farming systems simulation
B. A. et al. Keating · 2003
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Efficient waste? Why farmers over-apply nutrients and the implications for policy design
Glenn Sheriff · 2005
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Spreading dead zones and consequences for marine ecosystems
Robert J. Diaz and Rutger Rosenberg · 2008
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On the fate of anthropogenic nitrogen
William H. Schlesinger · 2009
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LINTUL3, a simulation model for nitrogen-limited situations: Application to rice
M. E. Shibu, P. A. Leffelaar, H. van Keulen, and P. K. Aggarwal · 2010
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Reactive nitrogen in the environment and its effect on climate change
Jan Willem Erisman, Jim Galloway, Sybil Seitzinger, Albert Bleeker, and Klaus Butterbach-Bahl · 2011
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Using crop reflectance to determine sidedress N rate in potato saves N and maintains yield
Frits K. van Evert, Remmie Booij, Jan Nammen Jukema, Hein F.M. ten Berge, Dik Uenk, E. J.J.Bert Meurs, Willem C.A. van Geel, Klaas H. Wijnholds, and J. J.Hanja Slabbekoorn · 2012
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Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
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APSIM - Evolution towards a new generation of agricultural systems simulation
Dean P. et al. Holzworth · 2014
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A participatory whole farm modelling approach to understand impacts and increase preparedness to climate change in Australia
Daniel Rodriguez, Howard Cox, Peter DeVoil, and Brendan Power · 2014
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Intercropping enhances soil carbon and nitrogen
Wen Feng Cong, Ellis Hoffland, Long Li, Johan Six, Jian Hao Sun, Xing Guo Bao, Fu Suo Zhang, and Wopke Van Der Werf · 2015
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Obtaining winter wheat parameters for LINTUL from a field experiment
Wiert Wiertsema · 2015
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Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016
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Simulation nitrogen-limited crop growth with swap/wofost: process descriptions and user manual
Piet Groenendijk, Hendrik Boogaard, Marius Heinen, JG Kroes, Iwan Supit, and Allard de Wit · 2016
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Reinforcement Learning for Sustainable Agriculture
Jonathan Binas, Leonie Luginbuehl, and Yoshua Bengio · 2019
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A smart agriculture IoT system based on deep reinforcement learning
Fanyu Bu and Xin Wang · 2019
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25 years of the WOFOST cropping systems model
Allard de Wit, Hendrik Boogaard, Davide Fumagalli, Sander Janssen, Rob Knapen, Daniel van Kraalingen, Iwan Supit, Raymond van der Wijngaart, and Kees van Diepen · 2019
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Stable baselines3
Antonin Raffin, Ashley Hill, Maximilian Ernestus, Adam Gleave, Anssi Kanervisto, and Noah Dormann · 2019
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Autonomous navigation of stratospheric balloons using reinforcement learning
Marc G. Bellemare, Salvatore Candido, Pablo Samuel Castro, Jun Gong, Marlos C. Machado, Subhodeep Moitra, Sameera S. Ponda, and Ziyu Wang · 2020
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Digital twin of an urban-integrated hydroponic farm
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Mastering the game of Go without human knowledge
D Silver, J Schrittwieser, K Simonyan, I Antonoglou Nature, and Undefined 2017 · 2016
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Contribution of Crop Models to Adaptation in Wheat
Karine Chenu, John Roy Porter, Pierre Martre, Bruno Basso, Scott Cameron Chapman, Frank Ewert, Marco Bindi, and Senthold Asseng · 2017
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Environmental impact of mineral fertilizers: possible improvements through the adoption of eco-innovations
Kathrin Hasler · 2017
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Brief history of agricultural systems modeling
James W. et al. Jones · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Reinforcement Learning an introduction
Richard S. Sutton · 2018
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Melanie Jans-Singh, Kathryn Leeming, Ruchi Choudhary, and Mark Girolami · 2020
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Whole-field reinforcement learning: A fully autonomous aerial scouting method for precision agriculture
Zichen Zhang, Jayson Boubin, Christopher Stewart, and Sami Khanal · 2020
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Intelligent control of agricultural irrigation based on reinforcement learning
Ni Zhou · 2020
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Price development of seeds and grains https://www.agrimatie.nl/SectorResultaat.aspx?subpubID=2232§orID=2233&themaID=2263
agrimatie.nl · 2021
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Price development of fertilizer https://www.agrimatie.nl/ThemaResultaat.aspx?subpubID=2289&themaID=2263
agrimatie.nl · 2021
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Introducing digital twins to agriculture
Christos Pylianidis, Sjoukje Osinga, and Ioannis N Athanasiadis · 2021
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