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Updated: Aug 1, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 10, 2012

一个量子驱动的多阶段框架,整合了变异性纠,强化学习和联合可解释性,用于适应气候的农业

Amreen Habibullah Khan1, Dilip Kumar Jang Bahadur Saini2, Tabassum H Khan3

  • 1Computer Science & Engineering Department, MIT School of Computing, MIT Art, Design and Technology University, Pune, Maharashtra, India.

Scientific reports
|November 3, 2025
PubMed
概括

本研究介绍了可持续农业的量子计算框架,提高了作物产量和决策,同时保持了数据隐私. 它通过提高效率和信任的量子方法来增强农业信息学.

关键词:
农作物土壤相互作用分布式农场情报 分布式农场情报联合学习是联合学习.量子计算是一种量子计算.量子编码是一种量子编码.智能农业智能农业拓学数据分析的分析.变量纠变量纠变量纠.

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