Precision Agriculture and Data Handling
Precision Agriculture and Data Handling Overview
Precision agriculture dates as far back as the early 1980’s. After the first agricultural revolution which brought about mechanization, and the second revolution which brought about genetic engineering, the third agricultural revolution brought about precision agriculture – a sustainable approach to intensifying global food production. Precision agriculture leverages on data and certain guiding principles for its efficiency. These principles include geolocation, variables such as climate, crop management practices, and soils, innovative strategies, and implementing practices. The farming method relies on high-tech sensors and analytical tools for making management decisions and improving crop production. It reduces the cost and time required for deploying farm inputs such as labour and ensures that resources deployed are in line with specific requirements.
A recent trend in precision agriculture is the deployment of Unmanned Aerial Vehicles (UAV) commonly known as drones. The technology is applied for different purposes including crop spraying and monitoring, planting, and irrigation, all of which depend on satellite imagery. Satellite imagery depends on data obtained through sources such as USGS Earth Explorer, Sentinel Open Access Hub, NASA Worldview and so many other platforms. This shows that for precision agriculture to be successful, it requires data which drives information and knowledge. Precision agriculture involves data handling through data capturing, analysis, access, processing and application of findings from analysis to make informed decisions. Without data, robots cannot be deployed in precision farming, and it would be difficult to determine the exact number of agrochemicals crops require to survive. Our team of expert consultants are available at Tengrain Science to provide you with expert opinion on precision and other improved farming methods.
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