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دسته بندی:
سیستم های خبره - expert systems
سال انتشار:
2019
عنوان انگلیسی مقاله:
Study of LED array fill light based on parallel particle swarm optimization in greenhouse planting
ترجمه فارسی عنوان مقاله:
مطالعه نور پر کننده آرایه LED بر اساس بهینه سازی ازدحام ذرات موازی در کاشت گلخانه ای
منبع:
Sciencedirect - Elsevier - Information Processing in Agriculture, 6 (2019) 73-80: doi:10:1016/j:inpa:2018:08:006
نویسنده:
Feifei He, Lihua Zeng *, Dongming Li, Zhenhui Ren *
چکیده انگلیسی:
Agricultural productivity is crucial to the economy. The output and quality of crops have a
direct impact on people’s daily lives and a country’s food and clothing. Therefore, harvesting
high-quality crops efficiently and maximizing yield per unit area are the most important
goals pursued by farmers. As an important parameter of plant growth, light
intensity is one of the important factors that affects plant growth and development, morphological
establishment and accumulation of functional chemical substances. When light
intensity cannot meet the plant’s needs, the optimal light intensity or uneven light distribution
will have a greater impact on plant growth and development. This paper aims to
address the optimal plant light intensity problem. The paper presents an expert system
technology database storing the empirical value of real-time light intensity values and
compares it with a parallel particle swarm optimization algorithm to identify the optimal
locations where LED lights need to be turned on and where drive circuit lit LED arrays need
to be situated, to identify the number of LED fill lights and to solve light intensity optimization
problems.
Keywords: Particle swarm optimization | Greenhouse | Fill light | Expert system | LED
قیمت: رایگان
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