background

Smart agriculture is a broad term. It collects agricultural and food production practices powered by the Internet of Things, big data and advanced analytical technologies. When we talk about the Internet of Things, we usually mean adding sensing, automation and analytics to modern agricultural processes.

Advantages of intelligent agriculture

Agriculture today is in competition. Farmers must grow more in the face of deteriorating soils, reduced land supplies and increased weather volatility. Supporting the Agricultural iot enables farmers to monitor their products and conditions in real time. They quickly gain insight that allows them to anticipate problems before they occur and make informed decisions about how to avoid them. In addition, agricultural iot solutions introduce automation, such as demand-based intelligent irrigation, water and fertilizer integration technology, etc.Many agricultural iot solutions are focused on optimizing the use of resources — water, energy, land. Smart agriculture using the Internet of Things relies on data collected from different agricultural sensors in the field. This helps farmers accurately allocate enough resources to a plant.

Smart agriculture using the Internet of Things is the real way to reduce pesticide and fertilizer use. Smart agriculture can not only help producers save water and energy and make agriculture greener, but also significantly reduce the use of pesticides and fertilizers. This method results in a cleaner, more organic end product than traditional farming methods.Smart agriculture using the Internet of Things is the real way to reduce pesticide and fertilizer use. Smart agriculture can not only help producers save water and energy and make agriculture greener, but also significantly reduce the use of pesticides and fertilizers. This method results in a cleaner, more organic end product than traditional farming methods.

Agricultural iot helps grow more and better products. Using agricultural equipment such as soil sensors and weather sensors, farmers can better understand the detailed dependencies between crop conditions and quality. Using connected systems, they can recreate optimal conditions and increase the nutritional value of products.