Study on Intrinsic Factors Affecting Production Technology of Low Carbon Agriculture and Forestry Plants

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Luo, Le^1 ; Zhou, Ying^1 ; Li, Qi^2^3 ; Mao, An^2^3

College of Economics and Management, Shandong Agricultural University, Taian, Shandong

271018, China^1

Key Laboratory of State Forestry Administration for Silviculture of the Lower Yellow River, Shandong Agricultural University, Taian, Shandong

271018, China^2

College of Forestry, Shandong Agricultural University, Taian, Shandong

271018, China^3

关键词: Agricultural industries;    Binary logistic regression;    Fruits and vegetables;    Logistic Regression modeling;    Low carbon agricultures;    Market infrastructure;    Post-harvest treatments;    Production technology;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/5/052015/pdf
DOI  :  10.1088/1755-1315/310/5/052015

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The management of low-carbon agriculture and forestry plant farms is an important path to promote the development of agricultural industry. This study used binary logistic regression method to construct a logistic regression model of low-carbon agriculture and forestry plant production status. The various conditions of low-carbon agroforestry production were analysed. The various internal factors affecting the evaluation of the production status of low-carbon agroforestry plants and the farm production as well as production status were discussed and comprehensively evaluated. Six main influencing factors were summarized and analysed, which were seedling quality, seed market supervision, fruit and vegetable standardization, fruit and vegetable market supervision, fruit and vegetable market infrastructure, post-harvest treatment of fruits and vegetables, and the promotion of low carbon farmland and plant production.