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Digital Transformation

Agricultural digital transformation


Agricultural digital transformation enables businesses to apply innovations in digital technology to improve processes and define new business models. However, this process is different and requires separate requirements for each organization and business. It is the perfect solution to streamline business processes and gain a competitive advantage, strengthen relationships with buyers or consumers, and digitize all data to improve time and cost efficiency.

Agricultural digital transformation trend

Agriculture has supported humans for thousands of years, but throughout history, agricultural production has undergone real upheavals. Today, a revolution is taking place in this field with the advent of digital technology. 

When we talk about Smart Agriculture technology, we are referring to the digitization of this field from seeds or farms to wholesale markets, purchasing units.

Benefits of agricultural digital transformation

- Increasing productivity

- Improving farmers' livelihood

- Better market link

- Providing users with accurate near-real-time data, thereby making a more appropriate production and business plan.

- Effective policy planning and implementation.

Solution for digital transformation of agriculture

Chain of production, transformation and commercialization are integrated at the data level, making use of scarce resources (water, energy, nutrients, plant or animal quarantine, etc.) more efficient, reducing the environmental impact of production and conversion/ commercialization, improving the profitability of farming and livestock operations, producing higher quality, healthier food and to the tastes and preferences of consumers. 

The combination of hardware, software and telecommunications devices is increasingly common and with better bandwidth, in recent years allows companies like ZinPro to develop various advanced technology solutions in this field.

Those are specialized solutions in Agriculture 4.0 including areas such as:

  • Consulting or automating the management of irrigation and fertilization more effectively.
  • Monitoring crops from drones, satellites or sensors on farms or animals.
  • Harnessing growing volumes of data with advanced analytics and in Big Data environments to generate crop forecasts or pest occurrence probabilities.
  • Agronomic interpretation of satellite, drone or mobile images using artificial intelligence tools.
  • Mobility support for agricultural technicians in their field missions.
  • Automated and two-way data integration with agricultural machinery, making precision agriculture a reality.
  • Controlling individual cattle, with many important parameters.
  • Geolocation of all agricultural activities.
  • Integrating information flows between farmers and their companies or cooperatives.
  • Detailed traceability management from the field to the consumer.
  • Quality control of all foods and transparency to the end consumer.

Digital in agriculture today

One of the key factors defining agricultural digital transformation is the use of technology. It involves the application of modern technologies combined with the internet to rebuild agriculture globally. Digital has given large and medium-sized organizations the power to mine and analyze unprecedented volumes of agricultural big data, which has enabled different stakeholders to create more value in processes they oversee.

  • Farm-level data is derived from a combination of multiple sources, including mobile-based agricultural applications, sensors, drones, farm machinery and implements, robotics and other IoT devices, making it possible for producers to capture critical farm data around the clock. This data, when processed with satellite and weather-based information, allows crop producers to monitor crop growth in real time, assess plot performance and estimate crop growth and calculate the yield for each plot with relative accuracy.
  • Precision agriculture creates diverse opportunities for the use of artificial intelligence to optimize agricultural processes. It enables producers to translate raw agricultural data into actionable insights that improve harvest quality and quantity. AI also empowers producers to select the best crops and cultivars for their region, while leveraging farm automation to reduce resource usage.
  • The digitization of the entire process, from production and harvesting to warehousing and distribution, is enhancing communication between different stakeholders in the agricultural system. Digitization has also enhanced visibility along the supply chain for different actors, makes the process more transparent and more efficient.

To learn more, contact ZinPro's agriculture digital transformation experts. We can advise and assist in building the most suitable solution for your production model. Hotline 0835-299-922.