The agriculture industry needs to meet customer demands while remaining profitable in the future. To do this, farmers need a complete view of their supply chain and how their product performs relative to their customers.
Another valuable feature is predictive analytics. By analyzing historical and real-time data, smart agriculture solutions can provide insights into crop growth, disease patterns, and yield predictions. This information helps farmers optimize planting schedules, manage crop rotations, and take proactive measures to prevent disease outbreaks or pest infestations.
Additionally, smart agriculture solutions incorporate automation technologies such as robotic systems and autonomous vehicles. These technologies can perform tasks such as seeding, spraying, and harvesting with precision and efficiency, reducing labor costs and improving productivity.
Use of pesticides.
Moreover, smart agriculture solutions incorporate automation technologies for targeted pest control. Robotic systems, drones, or even autonomous vehicles can be equipped with precision spraying mechanisms to deliver pesticides only where needed. This reduces pesticide use, minimizes environmental impact, and improves the efficiency of pest control operations.
Additionally, smart agriculture solutions enable farmers to share pest data and collaborate with other stakeholders. By pooling data from multiple sources, such as neighboring farms or agricultural organizations, farmers can gain a comprehensive understanding of pest dynamics in their region. This collective data helps in developing more effective pest management strategies on a larger scale.
According to Coherent Market Insights, The global Smart Agriculture Solution Market was accounted for US$ 18975.7 Mn in terms of value in 2019 and is expected to grow at CAGR of 11.2% for the period 2020-2027.
Smart farming solutions can help to achieve this by providing a vital link between all players in the supply chain, including processors and consumers.
Smart farming involves the use of technology to increase productivity and reduce operating costs. This can include sensors, robotics and connected machinery. However, the cost of these technologies may be prohibitive for many farmers. This is particularly true for the majority of the world’s farmers who are small-scale farmers working with basic tools on small plots of land. In order for these systems to reach the vast majority of the world’s farmers, they must be affordable and easy to use.
Along with reducing operating costs, smart farming can improve crop health, reduce environmental footprints and help to feed the growing global population. Optical smart farming technologies can help detect crop diseases and other problems before they become more severe.
Reduced water usage is a major benefit of using a smart farming system. This is achieved by integrating sensors that measure soil moisture, humidity, temperature, and more. Some solutions can also control irrigation equipment automatically based on these readings. This eliminates the need for manual intervention and results in significant savings.
Enterprise Asset Management Market- Regional Analysis North America held a dominant position in the global Enterprise Asset Management market in 2021, followed by the Asia Pacific and Europe region.
Another way that smart agriculture helps the environment is by lowering pest infestation rates. This is done by integrating sensor-based pest detection with automated traps that can capture and identify pests before they cause serious damage. Some agricultural robots are now equipped with multispectral imaging sensors that can be used to capture and identify different types of insects.
A successful smart farm requires a reliable network that can connect devices and sensors. This includes cellular modules that can be embedded in a ruggedized sensor for remote data collection. The gateways that are required to provide this functionality should also be able to support multiple wireless protocols and operate in various weather conditions.
The software that is used to interpret and analyze the collected data should be user-friendly and powerful enough to support a variety of different use cases. The ability to respond to alerts and view a dashboard that can be accessed anywhere at any time is also crucial for the success of a smart agriculture solution. This dashboard can be used to track everything from soil conditions and crop health to livestock health and location tracking.
AgJunction, partnered up with Anhui Zhongke Intelligent Sense, Big Data Industrial Technology Research Institute Co. Ltd, and GeoSurf Corporation, in March 2020, for offering precise agricultural solutions.
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