Scholarlink

Crop yield predictions are an essential part of modern agriculture. They help farmers allocate resources more efficiently and improve food security. In this abstract, we present a research project that uses machine learning to predict crop yields. We use historical crop data and weather conditions, as well as other relevant variables, to improve crop yield predictions. We evaluate model performance using key metrics and integrate climate data to better understand how weather affects crop production. This research helps inform data driven decisions in agriculture and provides valuable insights for sustainable agricultural practices.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Crop Yield Prediction Using Machine Learning

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Sakshi Sarode,
  • Pracheta Sharma,
  • Pratiksha Tidke,
  • Neha Panghate

摘要

Crop yield predictions are an essential part of modern agriculture. They help farmers allocate resources more efficiently and improve food security. In this abstract, we present a research project that uses machine learning to predict crop yields. We use historical crop data and weather conditions, as well as other relevant variables, to improve crop yield predictions. We evaluate model performance using key metrics and integrate climate data to better understand how weather affects crop production. This research helps inform data driven decisions in agriculture and provides valuable insights for sustainable agricultural practices.