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A Simulated Weather-Driven Bio-Econo...

Bernard, Bunnel,

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A Simulated Weather-Driven Bio-Economic Optimization Model for Agricultural Planning /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Simulated Weather-Driven Bio-Economic Optimization Model for Agricultural Planning // Bunnel Bernard.
作者:	Bernard, Bunnel,
面頁冊數:	1 electronic resource (229 pages)
附註:	Source: Masters Abstracts International, Volume: 86-04.
Contained By:	Masters Abstracts International86-04.
標題:	Mathematics. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31564094
ISBN:	9798384463788

A Simulated Weather-Driven Bio-Economic Optimization Model for Agricultural Planning /
Bernard, Bunnel,

A Simulated Weather-Driven Bio-Economic Optimization Model for Agricultural Planning /Bunnel Bernard. - 1 electronic resource (229 pages)

Source: Masters Abstracts International, Volume: 86-04.

This thesis introduces a weather-driven bio-economic optimization model for agricultural planning and decision-making. The model integrates weather simulations-including precipitation, temperature, relative humidity, and reference evapotranspiration (ETo)-to estimate crop yields using the AquaCrop simulator. These yield estimates are then incorporated into a multi-objective optimization (MOO) model that aims to maximize gross profit and economic water productivity (ET), while minimizing land use. The MOO model's results provide insights into key agricultural planning questions, such as what, where, when, and how much to plant. The findings demonstrate the model's potential to enhance agricultural decision-making by offering optimized crop combinations that improve both economic returns and land use efficiency. This research contributes to the development of a dynamic agricultural planning model by integrating weather forecasting, crop simulation, and multi-objective optimization.

English

ISBN: 9798384463788Subjects--Topical Terms:

515831
Mathematics.
Subjects--Index Terms:

AquaCrop simulator

A Simulated Weather-Driven Bio-Economic Optimization Model for Agricultural Planning /
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300 $a 1 electronic resource (229 pages)
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500 $a Source: Masters Abstracts International, Volume: 86-04.
500 $a Advisors: Abdella, Kenzu; Narine, Suresh Committee members: Bouzidi, Laziz.
502 $b M.S. $c Trent University (Canada) $d 2024.
520 $a This thesis introduces a weather-driven bio-economic optimization model for agricultural planning and decision-making. The model integrates weather simulations-including precipitation, temperature, relative humidity, and reference evapotranspiration (ETo)-to estimate crop yields using the AquaCrop simulator. These yield estimates are then incorporated into a multi-objective optimization (MOO) model that aims to maximize gross profit and economic water productivity (ET), while minimizing land use. The MOO model's results provide insights into key agricultural planning questions, such as what, where, when, and how much to plant. The findings demonstrate the model's potential to enhance agricultural decision-making by offering optimized crop combinations that improve both economic returns and land use efficiency. This research contributes to the development of a dynamic agricultural planning model by integrating weather forecasting, crop simulation, and multi-objective optimization.
546 $a English
590 $a School code: 0513
650 4 $a Mathematics. $3 515831
650 4 $a Agriculture. $3 518588
650 4 $a Agricultural engineering. $3 3168406
653 $a AquaCrop simulator
653 $a Artificial neural network
653 $a Markov chains
653 $a Multi-objective optimization
653 $a Reference evapotranspiration
653 $a Stochastic differential equation
690 $a 0405
690 $a 0473
690 $a 0539
710 2 $a Trent University (Canada). $b Applied Modeling and Quantitative Methods. $e degree granting institution. $3 3819358
720 1 $a Abdella, Kenzu $e degree supervisor.
720 1 $a Narine, Suresh $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-04.
790 $a 0513
791 $a M.S.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31564094