@ Sudip, precision agriculture is nothing but a management strategy that gathers, processes and analyzes temporal, spatial and individual data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality and profitability.
Precision agriculture employs data from multiple sources to improve crop yields and increase the cost-effectiveness of crop management strategies including fertilizer inputs, irrigation management, and pesticide application. It is an integrated crop management system which uses remote sensing (RS), GPS, and geographical information system (GIS) to monitor the crop field at ground level. The disparities in crop or soil properties within a field are also recorded and mapped.
For a bit of insight into the open-access mechanisms of precision irrigation, see these GitHub projects: https://github.com/SoothingMist. These represent a computer engineer's exploration of that domain.
Precision agriculture is an approach to farming that uses technology and data to optimize crop yields and minimize waste. The goal of precision agriculture is to use resources more efficiently, reduce environmental impact, and increase profitability for farmers.
Precision agriculture relies on a combination of technologies, including GPS, sensors, drones, and satellite imagery, to collect data about soil conditions, weather patterns, and plant growth. This data is then used to make decisions about when and how to plant, fertilize, irrigate, and harvest crops.
Overall, precision agriculture is about using technology to make smarter decisions about farming. By collecting and analyzing data, farmers can optimize their operations to achieve better outcomes for themselves and the environment.
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