Precision farming, also known as site-specific crop management or precision agriculture, has made tremendous strides in recent years. These developments have improved agricultural productivity and were made possible by technology, data analytics, and automation. The following are some significant developments in precision agriculture and their results.
Remote sensing and images: High-resolution imagery and data on crop health, nutrient levels, and water stress are provided by remote sensing technology, such as satellites, drones, and aircraft. Farmers can use these data to find variability in their fields and implement focused interventions. Early crop stress or nutrient deficiency detection allows farmers to provide inputs precisely where they are needed, maximising the utilisation of available resources and raising crop output.
With variable rate technology (VRT), inputs like irrigation, herbicides, and fertilisers are applied at different rates throughout a field. For the purpose of creating prescription maps that direct the application of inputs, VRT uses data from yield monitoring, soil sampling, and remote sensing. Farmers can maximise resource use, cut expenses, and increase crop yields by customising inputs to match the distinct needs of various locations within a field.
Sensors and the Internet of Things (IoT): Real-time information on environmental conditions and crop status is provided by sensors, including soil moisture sensors, weather stations, and crop health sensors. These sensors are connected via IoT devices, which enable real-time data collecting, analysis, and decision-making. Farmers can make prompt and educated judgements about crop health by keeping an eye on soil moisture, weather patterns.
