Information Technology Reference
In-Depth Information
1
Intelligent Systems in Technology
of Precision Agriculture and Biosafety
Vladimir M. Koleshko, Anatolij V. Gulay, Elena V. Polynkova,
Viacheslav A. Gulay and Yauhen A. Varabei
Belarusian National Technical University / Dept. of Intelligent Systems
Minsk,
Belarus
1. Introduction
The XXI century is based on developments of up-to-date intelligent systems and self-
learning wireless distributed sensory networks for different purposes of the application to
make the whole of space surrounding us sensory and motoric but also for the health and
human life maintenance, the improvement of a production status, an output quality, and the
product biosafety. A bedrock principle underlying precision agriculture is a wide
application of intelligent systems for the control and the assistance of decision making in
technological operations of an agricultural production [1, 2]. Precise positioning of
agricultural machines using satellite systems gives an opportunity to produce an intelligent
system of the agrarian production with dosed applying fertilizers but also chemical weed
and pest killers depending on information patterns in a specific spot of the tillable field for
the sensory control. Microsensory intelligent systems on a chip “electronic eye” (e-eye) with
a LED technology of the data acquisition let form soil light-colour information patterns fast
to get a maximal quantity of quality products, foods or biomatters (blood, saliva, sweat,
urine, tears, etc.) for the ecological, personal and social biosafety as well as real-time
monitoring the human health. The LED technology represents an optical microtomography
of functional states of bioobjects on a chip of the type e-eye. The intelligent control in the
agro-industrial production offers an opportunity to generate information electronic maps,
e.g., the distribution of nutrients and organic fertilizers applied in soil, virtual maps of crop
yield taking into account the technological preparation of land for growing crops and
micronutrients carried-out from this one with early taken crops, electronic satellite maps of
field, electronic maps of the quality, the information-microbial biosafety of foodstuffs, the
human health, and ecological environmental conditions. The distributed wireless sensory
systems and networks with a self-learning software make for the development of intelligent
precision agriculture including the information pattern recognition of an agrotechnical
technology, agricultural products and external ecological conditions in a space of
multidimensional sensory data. The use of intelligent information CIMLS (Continuous
Intelligent Management and Life Cycle Support) technology with developed intelligent
systems of data superprotection maintains and controls the life cycle of all the agricultural
production.
