New Research on Machine Learning from Sichuan Agricultural University　Summarized (Analysis of Influencing Factors on Farmers’　Willingness to Pay for the Use of Residential Land Based on Supervised　Machine Learning Algorithms)

Robotics & Machine Learning Daily News2024，Issue(Apr.10) ：66-66.

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New Research on Machine Learning from Sichuan Agricultural University　Summarized (Analysis of Influencing Factors on Farmers’　Willingness to Pay for the Use of Residential Land Based on Supervised　Machine Learning Algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in artificial intelli gence. According to news reporting originating fromChengdu, People’s Republic o f China, by NewsRx correspondents, research stated, “Aimed at advancingthe refo rm of the Paid Use of Residential Land, this study investigates the willingness to pay amongfarmers and its underlying factors.”

Key words

Sichuan Agricultural University/Chengdu/People’s Republic　of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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New Research on Machine Learning from Sichuan Agricultural University Summarized (Analysis of Influencing Factors on Farmers’ Willingness to Pay for the Use of Residential Land Based on Supervised Machine Learning Algorithms)

New Research on Machine Learning from Sichuan Agricultural University Summarized (Analysis of Influencing Factors on Farmers’ Willingness to Pay for the Use of Residential Land Based on Supervised Machine Learning Algorithms)

Abstract

Key words

引用本文复制引用

出版年

Robotics & Machine Learning Daily News

New Research on Machine Learning from Sichuan Agricultural University　Summarized (Analysis of Influencing Factors on Farmers’　Willingness to Pay for the Use of Residential Land Based on Supervised　Machine Learning Algorithms)

New Research on Machine Learning from Sichuan Agricultural University　Summarized (Analysis of Influencing Factors on Farmers’　Willingness to Pay for the Use of Residential Land Based on Supervised　Machine Learning Algorithms)