Articles citing this paper
Simulation of maize and soybean yield using DSSAT under long-term conventional and no-till systems
Teerath Rai
A B * , Sandeep Kumar B , Thandiwe Nleya B , Peter Sexton B and Gerrit Hoogenboom C
+ Author Affiliations
- Author Affiliations
A Department of Crop Sciences, University of Illinois, Urbana-Champaign, Champaign, IL, USA.
B Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, USA.
C Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA.
Soil Research 60(6) 520-533 https://doi.org/10.1071/SR21042
Submitted: 16 February 2021 Accepted: 13 January 2022 Published: 10 February 2022
4 articles found in Crossref database.
Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction
Dokoohaki Hamze,
Rai Teerath,
Kivi Marissa,
Lewis Philip,
Gómez-Dans Jose L., Yin Feng
Remote Sensing. 2022 14(21). p.5389
Simulating the impact of crop–livestock interaction on crop performance using DSSAT
Rai Teerath,
Kumar Sandeep,
Nleya Thandiwe, Hoogenboom Gerrit
Agrosystems, Geosciences & Environment. 2022 5(4).
No-till farming: prospects, challenges – productivity, soil health, and ecosystem services
Jayaraman Somasundaram,
Dalal Ram C., Singh Balwant
Soil Research. 2022 60(6). p.435
A mini-review on data science approaches in crop yield and disease detection
Valleggi Lorenzo, Stefanini Federico Mattia
Frontiers in Agronomy. 2024 6
