Page 37 - Robotics and AI class 10
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Examples with Benefits
            Here are a few examples of robotics applications in agriculture:
               • Harvesting Robots: Harvesting robots are designed to automate the process of picking fruits, vegetables,
              or crops. For example, in the strawberry industry, robots with computer vision systems and robotic arms can
              identify ripe strawberries, gently pick them, and place them in collection containers. These robots increase
              efficiency, minimise crop damage, and address labour shortages during peak harvesting seasons.

               • Autonomous  Tractors: Autonomous tractors equipped  with  GPS, sensors, and  mapping technologies are
              used for precision agriculture. These robots can autonomously navigate fields, perform tasks such as plowing,
              seeding, and fertilising, and adjust their operations based on real-time data. They optimise resource utilisation,
 These are just a few examples of the diverse applications of robots in the medical and healthcare field. As
 technology continues to advance, we can expect to see further innovations and integration of robotics to   minimise soil compaction, and enable precise application of inputs, resulting in higher crop yields and reduced
 improve patient care, enhance medical procedures, and revolutionize healthcare delivery.  environmental impact.
               • Weed Control Robots: Weed control robots use computer vision and AI algorithms to identify and remove
 Task  #Interdisciplinary  weeds from fields. These robots can distinguish between crops and unwanted plants, precisely apply herbicides
              or perform mechanical weeding. By selectively targeting weeds, they minimise the use of herbicides, reduce
              crop damage, and improve overall weed management efficiency.
 Write a short note on “Nanobots in Healthcare Industry”.
               • Crop Monitoring and Spraying Robots: Crop monitoring robots equipped with various sensors, including
              cameras, spectrometers, and multispectral imaging systems, assess crop health, detect diseases, and monitor
              growth patterns. They capture high-resolution data, enabling farmers to make informed decisions regarding
              irrigation,  fertilisation, and pest control. Spraying  robots utilise  this data  to perform targeted and  precise
              spraying of fertilisers, pesticides, or herbicides, minimising chemical usage and improving cost-effectiveness.
               • Autonomous  Greenhouse Robots: Autonomous  greenhouse robots automate tasks  within controlled
              environments. They manage climate control, irrigation, and  monitoring  systems to optimise  plant  growth
              conditions. These robots adjust parameters such as temperature, humidity, and lighting, ensuring optimal
              growing conditions for  various crops. They enhance  crop quality, reduce resource wastage,  and  enable
              year-round production in greenhouse facilities.

               • Robotic Dairy Farming: Robotic systems are also used in dairy farming for tasks such as milking and feeding.
 Robotics for Agriculture  Robotic milking machines can automatically attach to cows, monitor milk quality, and maintain milking records.
 Robotics has emerged as a transformative technology in the field of agriculture, revolutionising various aspects   They enhance animal welfare, improve milk production efficiency, and reduce the physical strain on dairy farmers.
 of farming and crop management. Agricultural robots are also known as agribots or agri-robots which are
 designed to automate tasks such as planting, harvesting, monitoring crop health, and precision spraying. These
 robots leverage advanced sensors, AI algorithms, and robotic arms to improve productivity, reduce labour costs,
 and optimise agricultural practices.











            The integration of robotics in agriculture offers numerous benefits, including increased productivity, optimised
            resource utilisation, reduced labor costs, and enhanced sustainability. By automating repetitive tasks and
            providing real-time data-driven insights, agricultural robots contribute to improved crop yield, quality, and
            overall farm management.



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