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Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...
Digital agriculture includes (but is not limited to) precision agriculture. Unlike precision agriculture, digital agriculture impacts the entire agri-food value chain — before, during, and after on-farm production. [6] Therefore, on-farm technologies like yield mapping, GPS guidance systems, and variable-rate application, fall under the ...
Some useful resources for learning about e-agriculture in practice are the World Bank's e-sourcebook ICT in agriculture – connecting smallholder farmers to knowledge, networks and institutions (2011), [2] ICT uses for inclusive value chains (2013), [3] ICT uses for inclusive value chains (2013) [4] and Success stories on information and ...
Increasingly, precision viticulture, with its focus on management according to local variability, is coupled with organic farming, with its focus on environmentally friendly practices without the use of chemical pesticides and fertilizers, and with sustainable agriculture, with emphasis on long-term environmental stewardship and economic viability.
Agricultural robots, agricultural drones and driverless tractors have found regular use on farms, while digital agriculture and precision agriculture make use of extensive data collection and computation to improve farm efficiency. [7] Precision agriculture includes such areas as precision beekeeping, precision livestock farming, and precision ...
In Asia, adoption of indoor agriculture has been driven by consumer demand for quality. [24] The Recirculating Farms Coalition is a US trade organization for hydroponic farmers. [25] A 2020 survey of indoor plant farming in the U.S. [26] found that indoor production was: 26% leafy greens, 20% herbs; 16% microgreens; 10% tomatoes; 28% other
Precision farming technologies based on Microprocessor and Decision Support Systems for enhancement input application. Efficiency in production agriculture. Evaluation of X-ray, Computed Tomography (CT) And Magnetic Resonance Imaging (MRI) for detecting the internal disorders. A value chain in major seed spices for domestic and export promotion.
Precision Agriculture can also be used, which focuses on efficient removal of pests using non-chemical techniques and minimizes the amount of tilling needed to sustain the farm. An example of a precision machine is the false seedbed tiller, which can remove a great majority of small weeds while only tilling one centimeter deep. [ 142 ]