Videocapsule Management of Agro-Technological Processes

Videocapsule Management of Agro-Technological Processes

Alexey Mikhailovich Bashilov (Moscow Aviation Institute (National Research University), Russia) and Vladimir Alexandrovich Korolev (Moscow Aviation Institute (National Research University), Russia)
DOI: 10.4018/978-1-7998-1216-6.ch014

Abstract

The chapter reveals new opportunities for the use of digital video surveillance in the agro-industrial sector. It presents a methodological approach and practical guidelines for modeling and managing changes in agrotechnology, in the conditions of digital transformation of large amounts of data. The proposed technical solutions are aimed at creating better products and gaining competitive advantages, thanks to the improved relationship of specialists and the transition to predictive data analysis. Video surveillance as the most accessible way to obtain information involves the creation of large amounts of data, their long-term storage, fast retrieval, and diverse analysis. The possibilities of video surveillance systems widely used to ensure the safety of industrial buildings and the protection of areas equipped with automatic video analytics modules and integrated computer programs are considered. The organization of managing geographically-distributed agricultural production using mobile and remote video surveillance systems is shown. By using the proposed project of integrating digital video surveillance into a big data system, the organization can be transformed to improve strategy, make system decisions, improve marketing and sales results, improve efficiency and productivity of business processes, improve the performance of production personnel, minimize unprofitable risks, and maximize management efficiency, which will lead to the emergence of new opportunities.
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Technical And Technological Features Of Development

Closed Circuit Video Surveillance in Agricultural Production

The approach developed in the article is aimed at creating better products and gaining competitive advantages by improving the relationship of agricultural production specialists and switching to operational analysis of video data that accurately and informatively reflects changes in agrotechnological processes.

In an effort to provide the most comfortable work for their users, manufacturers of various “smart” devices and developers of “digital” programs ensure their work in conjunction with each other. It can be traced even in everyday life: for example, through the Internet a modern mobile phone easily communicates with users on social networks and creates contacts and photos in an e-book. When building an agribusiness management system, combining different video surveillance tools into a single environment will help to multiply the efficiency and usability.

Technological processes in agriculture have significant differences from industry, they are associated with biological objects. These objects have the ability to self-organization and self-development. The most difficult problem is getting information about the behavior of biological objects and interpreting it through technical information and analytical tools for human understanding and decision making. The use of video surveillance, technical, machine and computer vision in the management of agrotechnological processes can be an effective way to improve agricultural production.

The key advantages are a significant increase in the information content, reliability, clarity, identity, efficiency of managing live, developing biotechnical, human-machine systems in a single language of video digital images with semantic-linguistic accompaniment. Video surveillance as the most accessible way to obtain valuable information involves the creation of large amounts of video data, their long-term storage, quick retrieval and diverse analysis.

Consider the capabilities of video surveillance systems, widely used for the safety of industrial buildings and the protection of territories (Damianovsky, 2013), which uses automatic video analytics modules and computer programs for integrating information and control flows (Soyfer, 2003 & Forsyth, 2012).

Key Terms in this Chapter

CCTV: Application technical, machine and computer vision in the management of agrotechnological processes to improve agricultural production.

Agro-Industrial Self-Organizing System: A set of functionally, structurally and parametrically interconnected objects, with an evolutionary and purposefully changing form of adaptive, adaptive and executive-transformative actions, the implementation of which carried out on the basis of fundamental laws and regularities reflecting the effective interaction of the objects of the system in achieving a practical result, the most but satisfying the real social needs and the external conditions of the environment.

Video Analytics: Algorithmic processing of digital images (video-time series of tracked behavioral acts), from the analysis of which you can get information about the identification code of the object of interest, geometric data and kinematic parameters for the implementation of high-precision biometrics, 3D modeling, the formation of ethological behavior patterns, diagnostics of the physiological state of animals and plants.

Agrocenoses: The functioning of agrocenoses unites a large number of technological and biophysiological processes distributed in time and space, they include technical devices for providing and supporting agrotechnological processes (technocenoses) and natural structures (biocenoses), including living biological structures capable of self-development, self-regulation (plants animals).

Integrated Video Surveillance: Allows one person to simultaneously be in several areas of the object, personally observe from one point or in different places the development of events and, having an idea of the whole situation, make expedient decisions and remotely manage the situation on the object.

Systemetry: An objective-subjective information-analytical mapping of the materially embodied agricultural production self-organizing system at different stages of its existence.

Presence Effect: It is provided by recording and displaying video images with high quality (accompanied by sound, color, text), which creates the effect of presence (more careful and prolonged attention) for an observer during actions that take place on a distant object.

Video Administration: Management of agrotechnological processes, facilities, personnel of an agricultural enterprise on the basis of decision-making on the results of video surveillance obtained in manual, semi-automatic and automatic modes.

Ethological Features: Characterize regularly or randomly occurring dynamic interactions of animals with each other or with objects of the environment, are recorded during continuous or event-based video surveillance in real time or at certain intervals of time.

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