Innovation of Agricultural Economic Management in the Process of Constructing Smart Agriculture by Big Data

Author(s):  
Yan Su ◽  
Xianping Wang
Author(s):  
Barkha Rani ◽  
Mamta Kumari ◽  
Kumari Sobha . ◽  
Pinki Kumari ◽  
Jyoti Majhi ◽  
...  
Keyword(s):  
Big Data ◽  

Author(s):  
Dr.Anita K.Patil ◽  
Dr.A.R. Laware

Advance researches in the field of Internet of Things (IoT) are helping to make water management smarter and also used for optimizing consumption in the smart agriculture industry. Now days the development and research in Intelligent Smart Farming IoT based devices is turning the face of agriculture production in enhancing as well making it cost-effective and reducing wastage. To create environmental conditions suitable for the growth of animals and plants, modern agriculture that uses artificial techniques to change climatic factors such as temperature a highly efficient protected agriculture mode is used. To handle the increasing challenges of agricultural production, the complex agricultural ecosystems need to be better understood. Modern digital technology used for continuously monitoring the physical environment and producing large quantities of data in an unprecedented pace. For improving productivity the analysis of big data would enable farmers and companies to extract value from it. Moreover big data analysis is leading to advances in various industries; it has not yet been widely applied in agriculture. The objective of this paper is to perform a review on current studies and research works in agriculture which employs the recent practice of big data analysis, in order to solve various relevant problems.


2021 ◽  
Vol 251 ◽  
pp. 01049
Author(s):  
Yang Xin ◽  
Yinning He

The analysis of enterprise economic operation is mainly to collect, integrate, analyze and store information on the economic activities of the enterprise, so as to realize the standardization and management of the overall economic activities of the enterprise. In the era of big data, the analysis of corporate economic operations has also changed. In short, the big data environment has changed the corporate economic analysis and management mechanism, and has changed the collection of corporate operating economic data. It also has multiple impacts on data analysis and changed the overall structure of corporate economic analysis. This article will briefly discuss the challenges and countermeasures facing enterprise economic operation analysis in the era of big data, hoping to provide a reference for enterprise economic management.


2019 ◽  
pp. 135-176
Author(s):  
Rajesh Angadi

In this chapter, a discussion is presented about what Big Data and Internet of Things (IoT) really is and what intricacies are used while building big data and internet of things. Further Big Data and Internet of Things have been used for building an application used for Smart City & Agriculture. A smart city is an urban development vision to integrate multiple information and communication technology (ICT) solutions. Smart city's goal is to improve quality of life with technology to improve the efficiency of services and meet residents' needs. Smart agriculture approach is to develop, transform and reorient agricultural development under new realities of climate change. It increases productivity enhances resilience (adaptation), reduces mitigation with achievement of national food security and development goals. This chapter includes detailed discussion on Smart City and Smart Agriculture along with planning, designing as well as various approaches used to build and implement them effectively.


Author(s):  
Omar F. El-Gayar ◽  
Martinson Q. Ofori

The United Nations (UN) Food and Agriculture (FAO) estimates that farmers will need to produce about 70% more food by 2050. To accommodate the growing demand, the agricultural industry has grown from labor-intensive to smart agriculture, or Agriculture 4.0, which includes farm equipment that are enhanced using autonomous unmanned decision systems (robotics), big data, and artificial intelligence. In this chapter, the authors conduct a systematic review focusing on big data and artificial intelligence in agriculture. To further guide the literature review process and organize the findings, they devise a framework based on extant literature. The framework is aimed to capture key aspects of agricultural processes, supporting supply chain, key stakeholders with a particular emphasis on the potential, drivers, and challenges of big data and artificial intelligence. They discuss how this new paradigm may be shaped differently depending on context, namely developed and developing countries.


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