Modern agriculture is increasingly reminiscent of working with data rather than traditional fieldwork.

Geographic information systems, or simply GIS, are gradually becoming one of the main tools in the agricultural industry. And it's not just about pretty maps. These systems can analyze vast amounts of spatial data: from soil conditions and moisture levels to plant growth dynamics. All this is collected from various sources: satellites, GPS trackers on equipment, sensors in the field, and sometimes even drones.

Main Functions of GIS in Agriculture

One of the main functions of GIS in agriculture is field mapping. Using satellite imagery, it's possible to determine the boundaries of agricultural plots, see what crops are grown there, and assess the condition of the plants. These maps help track crop development and quickly identify problem areas.

GIS are also actively used to monitor plant health. For example, satellite data can be used to calculate special vegetation indices that indicate how well the crop is developing. If an area with low index values ​​appears on the map, it may indicate a lack of water, nutrients, or the onset of plant diseases.

Another important task is crop yield forecasting and resource management. By analyzing data on soil, weather, and plant health, farmers can better plan fertilizer application, irrigation, and other agricultural activities. This approach helps use resources more efficiently.

Examples of GIS use in agriculture in different countries

Beyond individual farms and commercial platforms, geographic information systems are actively used by governments and international organizations to monitor agriculture at the national and global levels. Such systems help analyze large areas, forecast crop yields, and make decisions on food security.

In the European Union, satellite data is used to monitor agricultural subsidies under the Common Agricultural Policy (CAP). Copernicus Sentinel satellites can track agricultural land use, verify compliance with support program requirements, and monitor crop health.

European Union website for agricultural development

In Brazil, the government uses satellite data and GIS to analyze agricultural areas and land-use changes. The National Institute for Space Research (INPE) regularly analyzes satellite imagery to assess agricultural production and monitor the environment.

Brazil's Agricultural Development Website

In the United States, the Department of Agriculture (USDA) uses GIS to monitor agricultural crops. For example, the CropScape system allows for the creation of crop distribution maps across the country and the analysis of land-use changes.

Additional International Agricultural Monitoring Projects

NASA Harvest is an international program that uses satellite data for global crop monitoring and food security assessments. The project combines satellite data, analytical models, and geographic information systems to forecast crop yields and analyze agricultural risks.

NASA Harvest program website

Copernicus Agriculture Monitoring (EU) is an agricultural monitoring system based on Sentinel satellites. It analyzes crop conditions, tracks land-use changes, and supports agricultural policy management in EU countries.

Digital Earth Africa is a program providing open satellite data and analytical tools for monitoring land use and agriculture in African countries. The platform helps governments and researchers track agricultural land conditions and environmental changes.

Digital Earth Africa program website

Prospects for the Development of GIS in Agriculture

The role of GIS in agriculture will continue to grow with the advancement of remote sensing, artificial intelligence, and cloud computing technologies.

Integrating GIS with drones and sensor systems provides detailed information on plant health, soil moisture, and crop development. When combined with analytical models, this data helps predict yields and optimize agricultural resource management.

Thus, GIS is gradually transforming agriculture into a high-tech industry based on data analysis.

FAQ

What are the practical benefits of using GIS for farmers?
GIS allows farmers to see field conditions on a map, more quickly identify problem areas, and make decisions about irrigation, fertilization, or crop protection.

What satellite data is used in agriculture?
Landsat and Sentinel mission data are most commonly used, allowing for the calculation of vegetation indices and the monitoring of crop development.

Can GIS be used for crop yield forecasting?
Yes, by analyzing historical data on weather, soil conditions, and crop development, GIS helps estimate potential yields and plan agricultural operations.

Key Takeaways

GIS allows you to combine various types of data—satellite imagery, weather observations, and field measurements—into a single analysis system.

Satellite monitoring helps track crop conditions over large areas and identify changes over time.

The development of digital technologies makes geospatial analysis an increasingly important tool for sustainable agricultural development.