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Agriculture Automation Control System Market was valued at USD 4.38 billion and is anticipated to grow at a CAGR of over 10% between 2024 & 2032. A shortage of workforce and increasing costs for labor force are forcing the farmers to continue production and to manage the costs, leading to a significant increase in the demand for agricultural automation control systems.
Farm operations monitoring & management are becoming efficient due to the availability of robots, Artificial Intelligence (AI), and sensors present in the contemporary world. For instance, in May 2024, NEC X made scalable investments in Verdi Expeditions Inc., marking the first-ever venture in farm automation and personalized plant health management.
Another evolution that is adopted within farms is the implementation of Internet of Things (IoT) and networking with the aid of data analytics in agro automation solutions. One potential enhancement in farmer decision-making is the use of analytical information from devices that provide real-time data on crop status, weather, and soil conditions. Predictive analytics enables the prediction and prevention of potential issues, leading to a more robust and sustainable farming system.
A major challenge in the market is the high fixed costs. Automation technologies may provide long term gains of improved efficiency & productivity; however, the costs associated with implementing them may be extremely high, especially for the smallholder farmers. This arises from the cost of purchasing automation equipment, including the cost of installation and personnel training for automation systems operation & management. Hence, the cost of automation becomes one of the key factors that owners should consider when investing in automation solutions.
Technological advancements of the automated systems and the concerns with relation to its maintenance pose another problem for the agriculture automation control system market. To non-technical oriented farmers, automation systems appeared to be rather mysterious as such systems often rely on rather complicated software algorithms, sophisticated sensors and highly elaborate pieces of equipment. Installation, calibration, and the integration of these systems are also more complex as it requires expert staff. In addition, the day-to-day functioning as well as the optimization of automation systems requires constant updates and technical support.