Page 174 - Ebook HTKH 2024

Sustainable Agriculture
AI plays an important role in promoting sustainable agriculture through various

applications, from optimizing production processes to minimizing environmental
impacts. Here are some ways AI is applied in sustainable agriculture:
Smart Water Management: AI can analyze climate and soil data to predict the
water needs of crops, helping farmers irrigate more efficiently. Smart irrigation systems
use sensors and AI to adjust the amount of water applied based on soil moisture and
weather conditions.
Soil and Crop Analysis: AI helps analyze data on pH, moisture, and nutrient
content of the soil to provide accurate recommendations for soil improvement and

fertilization. By using images from drones or sensors, AI can detect early signs of
diseases or pests, allowing farmers to take timely intervention measures.
Production Optimization: AI can analyze various factors such as climate, crop
varieties, and farming practices to predict harvest yields, helping farmers plan
production more effectively. AI can analyze data from sensors and images to effectively
detect and manage pests, minimizing the use of pesticides.

Big Data Analysis: AI can process and analyze large amounts of data from various
sources (weather, soil, crops) to assist farmers in making farming decisions. AI helps
monitor and analyze market conditions, optimizing the supply chain and minimizing
waste.
Precision Agriculture: Combining AI with sensors and the Internet of Things
(IoT) to monitor and adjust factors such as moisture, temperature, and light, enhancing
production efficiency. AI provides specific information and recommendations to

farmers based on the specific conditions of each area.
Thanks to these applications, AI not only helps increase productivity and
production efficiency but also contributes to environmental protection and natural
resource conservation, ensuring sustainable development for the agricultural sector.
According to the report by the Ministry of Agriculture and Rural Development, Vietnam
has invested about 100 million USD in high technology in agriculture, including AI,

from 2017 to 2022. Research from the Vietnam Agricultural Science Institute shows
that 20% of farmers have used information technology and AI in agricultural production
to monitor and optimize farming processes. The application of AI helps accurately
predict crop yields in certain regions, potentially enhancing management capabilities
and optimizing production by up to 15%. According to a study, the application of AI in
pest management has helped reduce pesticide use by up to 30% while still ensuring
yields.
These figures demonstrate the enormous potential of AI in promoting sustainable

agriculture, not only on a global scale but also in Vietnam. Investing in and applying AI
in agriculture can bring economic benefits, protect the environment, and ensure food
security.

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