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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Wenming Chen1, Jiaxin Yang1, Shaocen Zhang1
1School of Agricultural Engineering, Jiangsu University, Zhenjiang, China.
This study introduces advanced ant colony optimization algorithms for efficient land leveling path planning. These methods significantly improve field flatness and reduce elevation differences, optimizing agricultural land management.
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