ID:
publications-3161
Type:
Non-peer reviewed articles
Year:
2016
Authors:
T. ŘeznÃk, V. Lukas, K. Charvát, K. Charvát Jr., Å . Horáková, Z. KÅ™ivánek, L. Herman
Title:
MONITORING OF IN-FIELD VARIABILITY FOR SITE SPECIFIC CROP MANAGEMENT THROUGH OPEN GEOSPATIAL INFORMATION
Venue/Journal:
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
DOI:
10.5194/isprsarchives-XLI-B8-1023-2016
Research type:
Spatial Analysis
Water System:
Precipitation & Ecological Systems
Technical Focus:
Abstract:
The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc. <br><br> This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1’284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.
Link with Projects:
633945
Link with Tools:
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