Model selection and optimization experiment of a field trial with agricultural data using Python
(2018) In Master's Theses in Mathematical Sciences NUMK01 20172Mathematics (Faculty of Engineering)
- Abstract
- Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of late-blight attacks was modelled on potato-corps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal- respectively dual-problem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as... (More) - Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of late-blight attacks was modelled on potato-corps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal- respectively dual-problem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as in prediction and analysis" [1], an experiment looking into parameter effects in both ADMM and Elastic Net is conducted. Some intuitions are confirmed, such as penalty effects and similar. Notably is the robustness of ADMM, despite this it can be more or less effective. Example wise it was found that some control parameters in ADMM and Elastic Net has a firm relations and should be properly chosen.
[1] L. Bengtsson, "Late blight prediction and analysis", 2017. Student Paper. (Less) - Popular Abstract
- Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of late-blight attacks was modelled on potato-corps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal- respectively dual-problem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as... (More) - Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of late-blight attacks was modelled on potato-corps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal- respectively dual-problem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as in prediction and analysis" [1], an experiment looking into parameter effects in both ADMM and Elastic Net is conducted. Some intuitions are confirmed, such as penalty effects and similar. Notably is the robustness of ADMM, despite this it can be more or less effective. Example wise it was found that some control parameters in ADMM and Elastic Net has a firm relations and should be properly chosen.
[1] L. Bengtsson, "Late blight prediction and analysis", 2017. Student Paper. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8938267
- author
- Bengtsson, Lukas LU
- supervisor
-
- Claus Führer LU
- organization
- course
- NUMK01 20172
- year
- 2018
- type
- M2 - Bachelor Degree
- subject
- keywords
- ADMM, Elastic Net, Model selection, optimization
- publication/series
- Master's Theses in Mathematical Sciences
- report number
- LUNFNA-4022-2018
- ISSN
- 1654-6229
- other publication id
- 2018:K18
- language
- English
- id
- 8938267
- date added to LUP
- 2018-06-07 17:58:19
- date last changed
- 2024-09-24 11:24:00
@misc{8938267,
abstract = {{Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of late-blight attacks was modelled on potato-corps using Elastic Net among other methods. This thesis is an algorithmic complement describing Alternate Direction Method of Multipliers (ADMM) and its use for efficient optimization of Elastic Net.
Initially a firm foundation is lied introducing the primal- respectively dual-problem and how the relation can be used to define optimization methods. The finale of those is ADMM. Its predecessors are also properly introduced in this thesis.
Then using the same data as in prediction and analysis" [1], an experiment looking into parameter effects in both ADMM and Elastic Net is conducted. Some intuitions are confirmed, such as penalty effects and similar. Notably is the robustness of ADMM, despite this it can be more or less effective. Example wise it was found that some control parameters in ADMM and Elastic Net has a firm relations and should be properly chosen.
[1] L. Bengtsson, "Late blight prediction and analysis", 2017. Student Paper.}},
author = {{Bengtsson, Lukas}},
issn = {{1654-6229}},
language = {{eng}},
note = {{Student Paper}},
series = {{Master's Theses in Mathematical Sciences}},
title = {{Model selection and optimization experiment of a field trial with agricultural data using Python}},
year = {{2018}},
}