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    • 塑料大棚辣椒优质轻简高效生产技术

    ,武涛,李明,

    Journal of Changjiang Vegetables（2023）

    Cited 0|Views38
    Abstract
    塑料大棚是长江中下游地区开展冬春蔬菜生产和秋冬蔬菜生产的主要设施之一,塑料大棚蔬菜产业的发展不仅有效缓解了当地蔬菜供应的春淡和秋淡问题,也是乡村振兴、产业兴旺带动农民增收致富的支柱性产业.在大棚蔬菜生产中,以辣椒(甜椒)种植面积最大,是长江中下游地区的主要大棚蔬菜种植种类,形成了春提早和秋延后两种主要的栽培模式[1～3].但塑料大棚辣椒生产中综合机械化水平低、生产用工多、劳动强度大,加上农村劳动力短缺和老龄化加重,成为制约大棚辣椒高质量发展的重要因素.近年来,笔者利用承担"十三五"国家重点研发计划项目"设施蔬菜优质轻简高效生产技术集成与示范"的机会,从塑料大棚产地环境选择、宜机化生产塑料大棚规格要求、茬口安排、品种选择、定植、田间管理、病虫害防控、采收、生产档案管理等方面对塑料大棚辣椒优质轻简高效生产过程进行了总结,以期为塑料大棚辣椒优质轻简高效生产提供技术指导.
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    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
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    【要点】：本文总结了塑料大棚辣椒优质轻简高效生产的关键技术，旨在为提高长江中下游地区辣椒生产效率和降低劳动强度提供技术指导。
    

    【方法】：作者通过承担国家重点研发计划项目，对辣椒生产过程中的产地环境选择、宜机化生产大棚规格、茬口安排等环节进行了系统研究和总结。
    

    【实验】：研究未明确提及具体实验，但涉及技术集成与示范，数据集名称未提供，结果为形成了一套优质轻简高效的生产技术体系。