کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4759134 1421110 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Interoperable agro-meteorological observation and analysis platform for precision agriculture: A case study in citrus crop water requirement estimation
ترجمه فارسی عنوان
پلت فرم مشاهده و تجزیه و تحلیل کشاورزی و هواشناسی سازگار با محیط زیست برای کشاورزی دقت: مطالعه موردی برآورد نیاز آب به منابع مرکبات
کلمات کلیدی
فعال کردن وب سنسور، سرویس نظارت سنسور، نیاز آب زراعی، نظارت بر کشاورزی و هواشناسی، شبکه سنسور بی سیم،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Advances in Internet of Things (IoT) based sensing systems have improved capabilities to precisely monitor environmental conditions. Plants are sessile organisms and are affected by biotic and abiotic stresses caused due to surrounding environmental conditions such as soil water content, pest/disease infestation, and soil health. High-resolution sensing (Wireless Sensor Networks (WSN) Systems) of agro-meteorological parameters helps to solve critical issues about the crop-weather-soil continuum. Currently, many WSN systems are deployed all over the World for precision agriculture purposes. Although there have been many improvements in the communication aspects of the WSN's, the data dissemination and near real-time analysis components for taking dynamic decision, particularly in agriculture domain has not matured. The current WSN systems do not have a standardized way of data discovery, access, and sharing, which impedes the integration of data across various distributed sensor networks. This study addresses above issues through the adaptation of a framework based on Open Geospatial Consortium (OGC) standards for Sensor Web Enablement (SWE). For precision agriculture applications a cost-effective, standardized sensing system (hardware and software) has been developed, which includes functionalities such as sensors plug-n-play, remote monitoring, tools for crop water requirement estimation, pest, disease monitoring, and nutrient management. Also, the modeling techniques were integrated with the interoperable web-enabled sensing system for addressing water management problems of horticultural crops in semi-arid areas.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 138, 1 June 2017, Pages 175-187
نویسندگان
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