Precision farming, also known as site-specific crop management or satellite farming, is a farm management concept that uses information technology to ensure optimum health and productivity of crops. The precision farming technique largely depends on specialized equipment such as sensing devices, antennas and access points, and automation and control system. It also involves maintenance services and managed services. Additionally, it incorporates a broad range of technologies such as bio-engineering, robotics and automation, imagery and sensors, and big data.
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Growing number of applications for telematics in agriculture is anticipated to drive demand for precision farming over the projected period. Telematics services include tracking devices using Global Navigation Satellite System (GNSS) to show the position of the equipment for management purposes. Major manufacturers of agriculture equipment are adopting telematics services for their equipment to improve farm efficiency, thereby reducing the cost of agricultural operations and maximizing profitability.
Additionally, improved management can help reduce environmental impact. Telematics technology is used to capture and transfer data from the farm equipment through sensors installed on tractors and other field monitoring equipment. The increasing adoption of telematics systems by agricultural equipment companies is expected to drive the precision agriculture market.
Furthermore, with advancements in GPS guidance and automation, drones are poised to transform the agriculture industry. The ability of drones to precisely analyze the soil at the beginning of the crop cycle and detect a plant infected with bacteria or fungus is anticipated to propel the growth of the drone segment.
However, low rate of technology adoption among farmers is likely to hamper market growth over the forecast period. This may be due to factors such as absence of stringent standards and limitations on the exchange of data. Furthermore, farmers lack independent consulting and advisory services owing to the absence of validated agronomic models for Variable Rate Technology (VRT) to make decisions on investments. In addition, independent services are not linked to co-operatives, government bodies, and farmer's associations where farmers can get additional information to make improved decisions.
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Further key findings from the report suggest:
• Increasing government support for adopting modern agricultural techniques and growing need for efficiently monitoring the health of crops are expected to drive market growth
• Cloud-based software model is anticipated to gain significant precision farming market share over the projected period as it reduces energy consumption and provides storage for large amount of data while facilitating cost saving
• Innovations in GPS mapping and related farming applications are enabling farmers to operate more efficiently and increase their profit margins
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