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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

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