Mateusz Wiecha
Research Subjects
Mateusz Wiecha has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Anna Radaczyńska1 shared publication
- Ewelina Szczuka1 shared publication
- Mariusz Rząsa
Opole University of Technology
1 shared publication
Latest Publications
- 13 September 2021
- Published by PIAP - Industrial Research Institute for Automation and Measurements in Pomiary Automatyka Robotyka
- Vol. 25 (3) , 73-78
Application of Computer Image Analysis for Measurement of Barley Vegetation
Progress in agriculture comes down to lowering the costs of plant production. One solution is precision farming, which saves on fertilisation, spraying and irrigation. Precision farming is mainly based on methods for measurement of coefficient of vegetation and geological conditions. For this purpose, aerial technology is used and nowadays drones are very often utilized to fields mapping. For this purpose, aerial technology is used and nowadays drones are very often used to mapping fields. On this basis, areas that require agricultural treatment are identified. The use of computer techniques improves the mapping process and the determination of vegetation coefficients. This paper presents a computer-based method for mapping of agricultural surface combined with image analysis and calculation of vegetation coefficients.
- 13 September 2021
- Published by PIAP - Industrial Research Institute for Automation and Measurements in Pomiary Automatyka Robotyka
- Vol. 25 (3) , 73-78
Application of Computer Image Analysis for Measurement of Barley Vegetation
Progress in agriculture comes down to lowering the costs of plant production. One solution is precision farming, which saves on fertilisation, spraying and irrigation. Precision farming is mainly based on methods for measurement of coefficient of vegetation and geological conditions. For this purpose, aerial technology is used and nowadays drones are very often utilized to fields mapping. For this purpose, aerial technology is used and nowadays drones are very often used to mapping fields. On this basis, areas that require agricultural treatment are identified. The use of computer techniques improves the mapping process and the determination of vegetation coefficients. This paper presents a computer-based method for mapping of agricultural surface combined with image analysis and calculation of vegetation coefficients.