The new advanced technologies help crop producers derive vast amounts of data for improving crops' quality.
FREMONT, CA: In the past few years, digital transformation has developed a buzz in the agri-food industry. It has helped the private and governmental sectors implement innovative digital technologies to restructure procedures and recognize new business models. However, the term digital can vary from person to person at different levels of the organization. For one person, the definition of digitalization can be the adoption of modern technology that can be used for streamlining the business procedure and gaining competitive benefits. It can be the ideal solution for another person to increase the strength among consumers or buyers. For others, it can represent the digitization of every data for enhancing time and cost-efficiency. Here are some of the essential roles digitalization has played in transforming the agricultural sector.
THE DIGITAL IN AGRICULTURE
One of the primary elements that can define digitalization in agriculture is the utilization of technology. Therefore, it is more popularly referred to as agriculture technology or agri-tech. Agri-tech consists of applying modern technologies that can be combined with the internet to reconstruct the practice of agriculture worldwide. In addition, Digital technologies have offered large and medium organizations the power to unearth and analyze Agri big data's immense volume.
The farm-level data collected from various sources, including sensors, farm implants and machinery, IoT devices, mobile-based agriculture apps, drones, and robotics, helps the producers identify important farm data. The data is processed with the help of satellite and weather-based information so that the crop producers can monitor the growth of their crops in real-time, evaluate the output for each farm plot with a fair amount of accuracy, and assess the performance of the farm plots.
Precision agriculture offers crop producers immense opportunities to utilize artificial intelligence to optimize farm processes. It also helps the producers interpret raw Agri data into actionable insights, which will enhance the harvest's quality and quantity. AI also empowers producers to select the best crops and crop varieties for their region and control farm automation to decrease resource use.
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