SENSORS AND DATA

Modern agriculture increasingly involves use of sensors on farm equipment, drones, and satellite imagery to collect farm data, and then analysis of all that data to improve the productivity of resources and management decisions on the farm.

REAL-TIME ANALYSIS

Smart or precision agriculture, which is also known as digital agronomy, is the integration of all these technologies and real-time data analysis for crop management and other processes to improve farming practices and increase productivity.

OPTIMIZE RESOURCES

By gathering and analyzing data on crop health, soil conditions, weather patterns, and other factors in real-time, farmers can make more informed decisions about everything from planting schedules to harvesting times.

CROP MANAGEMENT

Variable rate maps provide growers with information on crop yields, soil quality, and weather patterns, which can help them make decisions about when to plant, fertilize, irrigate, and harvest crops. Variable rate maps can help you identify the potential causes, such as poor soil quality or inadequate irrigation.

INPUT OPTIMIZATION

Variable rate maps also helps you optimize use of inputs, such as fertilizers and pesticides. By analyzing data on crop yields and soil quality, farmers can easily identify areas of their fields that require more or less input. This can help you save money on inputs and reduce your environmental impact.

RISK MANAGEMENT

Variable rate maps can help farmers manage risk by providing information on weather patterns and other factors that can affect crop yields. They can be used to monitor weather patterns so that a farmer can prepare for potential weather-related events such as droughts, floods, or others could affect the crops.