Smart Digital Farming for Sustainable Agriculture and Food Security

Smart Digital Farming for Sustainable Agriculture and Food Security

Smart digital farming is almost a new concept in agriculture science and technology. It involves managing farms using IoT, drones, artificial intelligence in agriculture, and robotics. This will allow for better control of growth factors such as fertilizer, irrigation, weeding, insect pest management, pest scouting, crop protection, and fertility optimization.

Smart digital farming solutions are initiatives by companies that are active in Innovative precision farming and livestock breeding. Digital farming technology is being promoted by digital farming companies and their role in promoting sustainability is highly appreciable. Digital agriculture services can greatly transform poor societies into prosperous ones by modifying the food production and crop management systems. There are numerous benefits of technology in agriculture but the most beneficial is improved food security and nutritional levels in the deprived communities. This will directly help to uplift poor societies for a better life and living opportunities.

Their main goals and purpose are following:

  • Develop economic potential on a sustainable basis
  • Companies can be more competitive through active and sustained collaboration in the Agri-Food sector.
  • Participation in solutions to the societal/agricultural challenges with a direct economic added value for agricultural companies.
  • Encourage open innovation Market- and product innovation
  • International exposure (The SDF Initiatives)

Although there is a significant ongoing development in digital farming, digital technology in agriculture, and digital farming technology the concept of digital technologies in agriculture and rural areas must be promoted on a sustainable basis to get more quantity and quality of production. Smart agriculture software is also being used by different research groups and progressive farmers but their use by local farmers has not been reported yet. Therefore agriculture in the future must be focused to use smart agriculture software and other innovations.

Digital Farming as A Great Revolution in Agriculture

Digital Farming is the evolution of agriculture and agricultural engineering from Precision Farming, to a connected, knowledge-based farm production system. Digital Farming uses Precision Farming technology but also makes use of intelligent networks and data management tools. Smart Digital Farming aims to harness all information and expertise available to automate sustainable agricultural processes. The concept of the digital farm should be promoted by the agriculture extension workers and community leaders for spreading awareness. This will greatly help to implement future farming technologies to achieve a modern agriculture system and information technology agriculture.

Implementation of Smart Digital Farming in Agriculture

Digital Farming is already a reality and many farmers are using farming automation systems. For instance, GPS guidance systems allow for controlled traffic farming, site-specific fertilization, or plant protection as part of a complete output/production cycle via proprietary cloud-based connectivity. Agriculture’s future is not far away, however, with automated data processing and a fully integrated, harmonized network, it is still possible to reap the benefits of digital farming by overcoming agricultural challenges.

Digital farming is a popular method of agriculture in many countries that have access to technology. All of these technologies, including sensors, communication networks, and aerial vehicles, as well as robotic equipment and other artificial intelligence technology, are used around the globe. Thereby maximum benefits can be obtained from agriculture and technology systems.

Benefits of Digital Agriculture Technology

Digital farming and digital agriculture technology have the advantage of being able to be used on any farm size. All levels of agriculture can reap the benefits, from small family farms to large-scale agricultural leaders. It’s not only used on farms, but it is also extensively used in agricultural research laboratories as well as institutions with an agricultural focus.

Digital farming is a popular choice for small-scale farmers because it allows them to make informed decisions about how to increase cow milk production, raise healthy calves and improve crop yields. There are many reasons that more farmers are switching to digital farming. However, there is more need for digital agriculture to design sustainable agricultural systems so the use of smart digital farming should be promoted in developing and underdeveloped countries. Furthermore, the concept of electronic farming, new farm technology,  agriculture technology news, e farming app, farmers internet, and ag sensors can greatly modify the yield quality and quantity potentials. Similar Physiology of Nutrients Accumulation and Factors Affecting

Digital Farming: The 21st Century’s Advantages

It is not surprising that technology is making its way to the agricultural sector in this digital age. Digital farming methods allow farmers to access information and make informed decisions that will ensure their success. Digital agriculture has made it possible to make farms more profitable, productive, and sustainable. Smart farming systems use remote sensing to manage more resources, reduce waste, increase productivity and allow for the management of more resources with great efficiency.

What are the most significant advantages of smart digital farming?

Digital farming offers many benefits, both at the farm level and across the entire industry. The effect can be seen at every level, from the micro-level of each farm to the macro-level that affects global policy.

These are the top benefits for farmers:

  1. More efficient management and decision-making processes
  2. Additional target applications can lead to increased efficiency
  3. A rise in productivity and profitability
  4. More effective marketing
  5. Current information
  6. Record-keeping processes improved
  7. This is how you handle uncertainties and risks.
  8. A decrease in regulatory burden

The country’s economic health is directly affected by agriculture. Humans have reached the limits of their ability to think with the advent of digital expertise. We are now attempting to merge the functions of the normal brain and those of artificial intelligence.

Artificial Intelligence in Agriculture

Artificial intelligence has made inroads into a wide range of fields, including medical research, education, finance, agriculture, industry, security, and a slew of other fields. The learning process required for AI implementation is made possible by machines.

Over the last several decades, agriculture has experienced many technological changes. It is now more industrialized and tech-driven. Different smart digital agricultural devices have given farmers more control over how they raise animals and produce crops. This has made it more predictable and more efficient.

Management Aspects and Future Prospects of Smart Digital Farming

The OEM cloud must be the first point of access: It retrieves the data at the machine level and not at the farm level. It protects farmers’ physical safety and security at the machine level, without interfering with their data rights or IPR rights as manufacturers.

To ensure that all platforms can use them, the number and formats of data sets that can be shared should be coordinated.

Data platform level should allow maximum innovation freedom. A standardized Interface will allow data sharing and cloud2cloud communication. This allows for a complete system of systems approach.

A farmer can access all information and services from one central location. – His preferred farm management and farm information system.

Certification allows for standardized data access and secure data flow: This will increase trust between cloud providers and farmers in data sharing. Also Like: Role of Zn for Life and Zn

Also, allow Data transfer between systems via automatic consent: Future users will feel less burdened if they are working together, and not between people. This might be possible within the context of a common agricultural data space.