首页> 外文会议>International Symposium on Intelligent Systems Technologies and Applications >Genetic Algorithm Based Suggestion Approach for State Wise Crop Production in India
【24h】

Genetic Algorithm Based Suggestion Approach for State Wise Crop Production in India

机译:基于遗传算法的印度国家明智作物生产建议方法

获取原文

摘要

Agriculture is considered as the backbone of Indian economy. Despite the tremendous increase in industrialization and advancement in technology, a majority of India's population is dependent on agriculture. Agriculture in India is not uniform throughout. In this paper, rule based classification has been applied to classify the states based on the amount of rainfall. The accuracy of Classification results is validated using Random Forest algorithm. Also we have found the major crops that can be grown in a state using a proposed algorithm by analyzing the soil, temperature and rainfall data. Due to time constraint and non-optimal usage of land resources, cultivation of all the suggested crops is not possible. Therefore, Genetic Algorithm is applied to give the best possible suggestion for crop cultivation across various states in India. So our proposed method will help to maximize the overall agriculture production in India.
机译:农业被认为是印度经济的骨干。尽管工业化和技术进步巨大增加,但大多数印度的人口依赖于农业。印度农业在全部并不统一。在本文中,已申请了基于规则的分类来根据降雨量对国家进行分类。使用随机林算法验证分类结果的准确性。此外,我们发现主要作物可以通过分析土壤,温度和降雨数据来使用所提出的算法在状态下生长。由于时间限制和土地资源的不良用法,培养了所有建议的作物。因此,遗传算法适用于在印度各种州的各种州的作物培养给予最佳建议。因此,我们的拟议方法将有助于最大限度地提高印度的整体农业生产。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号