Technological framework for precise management of the system “soil-plants-ground atmosphere”

Martin Banov, Nikola Kolev and Pavel Milenov
Agricultural Academy, Institute of Soil Science, Agrotehnology and Plant Protection “Nikola Poushkarov”, 1380 Sofia, Bulgaria


Banov, M., Kolev, N. & Milenov, P. (2021). Technological framework for precise management of the system “soil-plants-ground atmosphere”. Bulg. J. Agric. Sci., 27 (3), 575–581

Joint remote sensing, synchronous and quasisinchronous ground based studies, combined with GIS technologies for estimation of the state of agricultural lands provide a valuable source of information for precise management of agricultural activities on the field. They constitute a part of the data base used for operation of a number of models for evaluation and forecast of the state of land (soil and vegetation) resources.
Based on satellite images studies from Copernicus Sentinel satellites, simple relations between the water and temperature regimes of soil and vegetation covers and their optic or thermal characteristics are sought. These studies have to be combined with GIS technologies for evaluation of spatial distribution of agricultural land management.
Specialists can be users of continuous flow of satellite imagery and spatial data in the agricultural and the environmental sectors. This requires an active participation of European space-related projects, programmes and initiatives.  With their help, the assessment of the status of soil and plant resources is synchronous over time and could provide reliable  data and information to  Bulgarian ministries and agencies in support of their decision making process, related to the cultivation of the basic agricultural crops on the territory of Bulgaria.
The land tenants, managers of farm associations, agronomists and farmers have to take their responsibility for managing of the technological operations in the system “soil-plant-ground atmosphere”, in order to fulfill the public objective for efficient crop production for obtaining economically viable crop yields, while maintaining and increasing soil fertility.

Keywords: remote sensing; soil; management; GIS and LPIS technologies

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