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دسته بندی:
هوش مصنوعی - Artificial intelligence
سال انتشار:
2020
عنوان انگلیسی مقاله:
AI and IoT Based Monitoring System for Increasing the Yield in Crop Production
ترجمه فارسی عنوان مقاله:
سیستم مانیتورینگ مبتنی بر هوش مصنوعی و اینترنت اشیا برای افزایش عملکرد در محصولات زراعی
منبع:
IEEE - 2020 International Conference on Electrical and Electronics Engineering (ICE3);2020; ; ;
نویسنده:
Richa Singh, Sarthak Srivastava , Rajan Mishra
چکیده انگلیسی:
Artificial Intelligence (AI) and Internet of things
(IoT) based monitoring systems are in great demand and gives
a precise extraction and analysis of data. In this paper, the
research is performed on a marigold plant to detect the most
suitable conditions for plant growth. The philosophy behinds
this work is to reduce the risks in agriculture and to promote
smart farming practices. The effect of physical conditions like
humidity, temperature, soil temperature and moisture and
light intensity on the plant growth, is monitored using IoT
based monitoring system. The data responsible for the plant
growth is obtained using different sensors units like DHT11,
LDR, DS18B20, Soil Moisture sensors, Noir camera, singleboard
microcontrollers and Application Programming
Interfaces (APIs). The variation of plant growth rate w.r.t. the
intensity of sunlight was observed within the range of 1000 lx-
1200 lx, category-2 (best). The further analysis of the extracted
parameters is done using different Machine Learning (ML)
algorithms. Logistic Regression, Gradient Boosting Classifier
and Linear Support Vector Classifier (SVC) algorithms are
found best for analysis of physical parameters responsible for
the marigold plant growth.
Keywords: Machine Learning | Internet of Things | Smart farming | Agriculture | Artificial Intelligence | OpenCV | Python | Thingspeak
قیمت: رایگان
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