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Some important ways in which AI is used in agriculture:
 Smart farming (Precision agriculture): Smart farming uses modern technology such as
sensors, GPS and artificial intelligence to manage farms more efficiently. It helps farmers use
water, fertilisers and pesticides in the right amount and at the right time, reducing waste and
increasing crop yield.

 Crop monitoring: Crop monitoring involves regularly observing crops using drones, satellites
or sensors. It helps farmers check plant health, growth stages and detect any problems early,
ensuring better productivity.
 Weather prediction: Weather prediction uses advanced data and technology to forecast
weather conditions. Farmers can plan activities such as sowing, irrigation and harvesting
based on accurate weather information, reducing the risk of crop damage.
 Pest and disease detection: This involves identifying pests and plant diseases at an early
stage using AI tools, cameras or sensors. Early detection helps farmers take timely action to
protect crops and minimise losses.

 Automated machines: Automated machines are equipment such as tractors, harvesters and
irrigation systems that work with minimal human effort. They increase efficiency, save time
and reduce labour costs in farming.
 Soil analysis: Soil analysis examines the nutrients, moisture and condition of the soil. This
helps farmers understand what crops are suitable and what fertilisers are needed to improve
soil quality and crop production.

21 st
Century #Critical Thinking
Skills
SMART FARMING WITH AI: THE STORY OF GREENGROW FARMS
GreenGrow Farms, located in a rural area, faced challenges such as unpredictable
weather, pest attacks and low crop yield. To solve these problems, the farm adopted AI
technologies. They installed smart sensors in the soil to collect data about moisture, temperature
and nutrients. This data was analysed using AI systems to provide real-time recommendations on
irrigation and fertiliser use.

The farm also used drones with AI-powered cameras to monitor crop health and detect early signs
of disease. With the help of predictive analytics, GreenGrow Farms could forecast weather patterns
and plan sowing and harvesting more efficiently. As a result, the farm increased its crop production,
reduced water usage and minimised losses due to pests and diseases. This shows how AI can transform
traditional agriculture into a smart and efficient industry.
Based on the above case, answer the following questions:
1. What challenges were faced by GreenGrow Farms before using AI?

2. How did AI help in improving irrigation and fertiliser usage?

34 Artificial Intelligence (CT & AI)-VII