Intelligent Systems in Technology of Precision Agriculture and Biosafety

The XXI century is based on developments of up-to-date intelligent systems and selflearning 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.