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Application Maps in Precision Agriculture – Grassland Production Management in Poland Cover

Application Maps in Precision Agriculture – Grassland Production Management in Poland

Open Access
|Mar 2025

Figures & Tables

Fig. 1.

A – Share of meadows in the total area of agricultural lands, 2005; B – Share of pastures in the total area of agricultural lands, 2005. Maps from: Atlas of Agriculture of Poland (Bański 2010).

Table 1.

Selected mapping applications to support agricultural production management.

365FarmNetSatAgroOneSoil yieldEOSDA crop monitoring
Access10 days demo then paidFree demo then paidFree demo then paidFree demo then paid
LanguagePL, DE, EN, FRPL, Uk, ES, EN, DE, CSPL, ES, CS, RU, FR, PT, DE, HU, UKES, RU, FR, PT, UK
Background maps, satellite dataGoogle Maps and satellite images from NASA, Sentinel-2Satellite images (Sentinel-2, PlanetScope, Landsat8, MODIS), maps (OSM, Google)Google Maps and satellite images from NASASentinel-2, PlanetScope, EOS SAT-1
Cultivation/breedingAny kind of cultivation (without details for grasslands)/breedingAny kind of cultivation/breedingAny kind of cultivation/breedingAny kind of cultivation/breeding
Field optionsVegetation, crop condition, fertilisation, sowing, crop protection, harvest, weatherCrop condition, weather (IMGW), soil tests, sowing, harvesting, fertilisation, other biochemicals, alarmsField, crop rotation, notes, fields by season, sowing, harvesting, crop classifications, weatherVegetation, crop condition, weather, crop classification, tracking, soil moisture analytics, yield prediction, soil organic carbon, crop rotation, sowing, harvesting, notifications, irrigation
Satellite indicatorsNDVI (Sentinel-2)NDVI (Sentinel-2, PlanetScope), GDDMaps with indicators in the paid version (for advisors, farmers, soil testing companies), for example, NDVINDVI, NDRE, MSAVI, RECI, NDMI
Additional optionsYes, it can be added (vehicle)Yes, e.g., profitabilityYes, e.g., file convertersYes, e.g., API access to satellite data
Fig. 2.

Poland – in situ data collection sites used to validate satellite data.

Fig. 3.

Main themes that can be monitored with the GRASSAT application.

Fig. 4.

Diagram of proceedings in the development of the GRASSAT application.

Fig. 5.

An example view of a grassland plot in the GRASSAT application.

Fig. 6.

An example view of a field with vegetation condition information in the GRASSAT application. Possibility to compare the condition of grassland plots for the current and previous year.

Fig. 7.

The weight of the predicted fresh biomass production on the grassland plots on the GRASSAT application.

Fig. 8.

Diagram showing the dangers of freezing in the grassland plot available in application.

DOI: https://doi.org/10.14746/quageo-2025-0008 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103 (formerly 0137-477X)
Language: English
Page range: 117 - 129
Submitted on: Apr 26, 2024
Published on: Mar 19, 2025
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Related subjects:

© 2025 Anna Markowska, Katarzyna Dąbrowska-Zielińska, Konrad Wróblewski, Michał Wyczałek-Jagiełło, Dariusz Ziółkowski, Piotr Goliński, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.