Comparison of the machine learning and AquaCrop models for quinoa crops.
- Published in:
- Research in Agricultural Engineering, 2023, v. 69, n. 3, p. 65, doi. 10.17221/86/2021-RAE
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- Publication type:
- Article
Works matching IS 12129151 AND DT 2023 AND VI 69 AND IP 3
Results: 6
1
2
Influence of primary tillage on the displacement of soil particles.
- Published in:
- Research in Agricultural Engineering, 2023, v. 69, n. 3, p. 101, doi. 10.17221/76/2022-RAE
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- Publication type:
- Article
3
The effect of large doses of organic fertilisers on maize.
- Published in:
- Research in Agricultural Engineering, 2023, v. 69, n. 3, p. 94, doi. 10.17221/75/2022-RAE
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- Publication type:
- Article
4
Field evaluation of a bent leg tillage implement in dry soil conditions.
- Published in:
- Research in Agricultural Engineering, 2023, v. 69, n. 3, p. 85, doi. 10.17221/41/2022-RAE
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- Publication type:
- Article
5
Contrasting tillage systems and vertical arable layer stratification impacts on soil aggregates and root biomass in Lithuania.
- Published in:
- Research in Agricultural Engineering, 2023, v. 69, n. 3, p. 76, doi. 10.17221/29/2022-RAE
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- Publication type:
- Article
6
Evaluation of low-temperature drying characteristics of fresh tea leaves (Camellia assamica) in an environmental chamber using mathematical models.
- Published in:
- Research in Agricultural Engineering, 2023, v. 69, n. 3, p. 55, doi. 10.17221/28/2021-RAE
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- Publication type:
- Article