Why Ai is suitable to be used in Agriculture Sector?

In times of adverse weather conditions or crop diseases, farmers often face difficulties in achieving high yields. Similarly, during global pandemics, managing various processes becomes more challenging due to the lack of digitalization.

Simultaneously, the world’s population continues to grow, accompanied by ongoing urbanization. With rising disposable incomes and changing consumption habits, farmers face immense pressure to meet the increasing demand for food. To address this challenge, it becomes crucial to find ways to enhance productivity as the availability of fertile soil remains limited, necessitating a shift away from traditional farming practices.

To mitigate risks and make them more manageable, exploring the implementation of artificial intelligence (AI) in agriculture on a global scale holds significant promise. AI has the potential to revolutionize the agricultural sector, empowering farmers to achieve greater results with less effort while offering numerous other benefits. However, it’s important to note that AI is not a standalone technology but rather a complementary tool that can augment existing agricultural practices.

Now, let’s delve into the opportunities presented by AI in farming and explore how this technology can help overcome existing obstacles.

How AI can be useful in Agriculture Sector?

Agriculture involves various manual processes and stages. AI can assist by complementing existing technologies and streamlining both complex and routine tasks. It can gather and analyze large amounts of data on a digital platform, determine the optimal course of action, and even trigger actions when combined with other technologies.

Combining artificial intelligence and agriculture can be beneficial for the following processes:

1) Analyzing Market Demand

AI can simplify crop selection and help farmers determine which crops will be most profitable.

2) Managing Risk

Using forecasting and predictive analytics, farmers can reduce errors in their processes and minimize the risk of crop failures.

3) Breeding Seeds

AI can collect data on plant growth to develop crops that are more resistant to diseases and better suited to weather conditions.

4) Monitoring Soil Health

AI systems can analyze soil chemically and provide accurate estimates of nutrient deficiencies.

5) Protecting Crops

AI can monitor plant health, detect diseases, identify and remove weeds, and suggest effective pest control methods.

6) Feeding Crops

AI can determine optimal irrigation schedules, and nutrient application timings, and recommend suitable agronomic products.

7) Harvesting

With the assistance of AI, harvesting can be automated and the best time for harvest can be predicted.

Overall, Agribusinesses must recognize that AI is not a cure-all solution. Nevertheless, it can provide tangible advantages by simplifying farmers’ lives and enhancing everyday farming tasks. By harnessing the power of AI, we can enable sustainable farming practices and effectively address the current challenges faced in agriculture.

Author: Nurul Natasya Nadia