|Table of Contents|

Environmental Control Technology of Tomato Solar Greenhouse in Autumn and Winter in Northern China Based on Internet of Things

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2021年11
Page:
156-160
Research Field:
Publishing date:

Info

Title:
Environmental Control Technology of Tomato Solar Greenhouse in Autumn and Winter in Northern China Based on Internet of Things
Author(s):
HUANG Yuan123LI Yuling123CHEN Cheng34GAO Xinna123DU Yaru123YANG Yingru123
(1.Shijiazhuang Academy of Agricultural and Forestry Sciences,Shijiazhuang,Hebei 050041;2.Shijiazhuang Agricultural Information Engineering Technology Research Center,Shijiazhuang,Hebei 050041;3.Hebei Province City Agriculture Technology Innovation Centers,Shijiazhuang,Hebei 050041;4.National Engineering Research Center for Information Technology in Agriculture,Beijing 100000)
Keywords:
solar greenhousetomato in autumn and winterenvironmental regulationdiurnal temperature difference
PACS:
-
DOI:
10.11937/bfyy.20205295
Abstract:
Agricultural Internet of Things technology is an important means to realize intelligent agricultural production.Based on the agricultural Internet of Things technology and tomato production experience in Zhaoxian county,Shijiazhuang,the environmental control technology of northern solar greenhouse based on temperature management was developed.The daytime environmental management and control modes were temperature and humidity control mode,temperature and humidity control mode,heat preservation and light supplement mode,while the night environmental management and control modes were day-night temperature difference increasing mode and day-night temperature difference decreasing mode.The environmental management and control methods in special weather were briefly described,which provided a reference for realizing intelligent control of tomato production in solar greenhouse in autumn and winter.

References:

[1]彭改丽.物联网在智能农业中的应用研究[D].郑州:郑州大学,2012.[2]高娃.基于物联网的农业信息化发展模式研究[D].南京:南京邮电大学,2012.[3]王冬.基于物联网的智能农业监测系统的设计与实现[D].大连:大连理工大学,2013.[4]邢志卿,付兴,房骏,等.物联网技术在现代农业生产中的应用研究[J].农业技术与装备,2010(8):16-17,20.[5]张勇,倪欣宇,张柯新,等.光伏驱动基质控温系统对温室番茄根区的降温效果[J].农业工程学报,2020,36(5):212-219.[6]杜尚丰,李迎霞,马承伟,等.中国温室环境控制硬件系统研究进展[J].农业工程学报,2004(1):7-12.[7]李恺,魏晓明,何芬.基于植物生理检测参数的温室环境控制研究进展[J].北方园艺,2020(15):130-137.[8]訾燕波.基于物联网的日光温室番茄环境信息采集及水分需求分析[D].泰安:山东农业大学,2020.[9]宫鹤,李佳星.基于蛙跳PID算法的温室温湿度控制系统设计[J].农机化研究,2021,43(1):186-190.[10]周建波,范凤翠,杜兴兰,等.石家庄地区农业气候生产潜力变化分析[J].中国农学通报,2020,36(3):100-103.[11]刘雨娜,高春琦.基于物联网的北方智能温室番茄栽培的调控规程[J].北方园艺,2020(2):138-142.[12]NY/T3024-2016,日光温室建设标准[S].北京:中国人民共和国农业部,2016.[13]GB/T 38757-2020,设施农业小气候观测规范:日光温室和塑料大棚[S].北京:国家市场监督管理总局,2020.[14]NY/T 1451-2018,温室通风设计规范[S].北京:中国人民共和国农业部,2018.[15]边光亚,宋涛,吴然,等.河北太行山中高山区‘番茄9号’设施越夏高效栽培技术[J].北方园艺,2020(11):168-171.[16]袁升凯,李琦,吉淼,等.保护地番茄优质抗病高效栽培技术[J].中国瓜菜,2020,33(10):113-114.[17]焦永刚,郭敬华,董灵迪,等.冀中南地区设施番茄基质轻简化高产高效栽培技术[J].北方园艺,2020(6):172-175.[18]王克安,李絮花,吕晓惠,等.不同结构日光温室温湿度变化规律及其对番茄产量和病害的影响[J].山东农业科学,2011(3):33-36.[19]牛贞福,温凯,马海艳,等.适宜北方冬季日光温室长期夜间亚低温番茄品种的筛选研究[J].吉林农业科学,2015,40(6):90-93.[20]崔兰舫.日光温室樱桃番茄优质高效生产实用技术[J].北方园艺,2019(16):174-176.[21]李莉,李佳,高青,等.昼夜温差对番茄生长发育、产量及果实品质的影响[J].应用生态学报,2015(9):2700-2706.[22]袁小康.昼夜温差对果实膨大期番茄光合作用、PSⅡ光化学活性及能量耗散的影响[J].北方园艺,2018(12):67-72.[23]毛丽萍,李亚灵,赵军良,等.昼夜温差对番茄幼苗光合特性和物质积累的影响[J].华北农学报,2012(1):128-133.[24]张洁,李天来,徐晶.昼间亚高温对日光温室番茄生长发育、产量及品质的影响[J].应用生态学报,2005(6):1051-1055.

Memo

Memo:
-
Last Update: 2021-09-23