• Diverse Technologies : Autonomous farming incorporates various technologies , including artificial intelligence , GPS , sensors , robotics and drones for tasks such as ploughing , planting , harvesting and crop monitoring .
• Efficiency and Precision : Autonomous machines in agriculture enhance efficiency and precision by performing tasks like planting crops at optimal depths as well as spacing and harvesting with minimal waste .
• Sustainability Impact : Autonomous farming promotes sustainability by enabling precision agriculture , which allows for targeted application of fertilisers , pesticides and water , reducing overall resource use and environmental impact .
• Adoption Challenges : Despite its potential , the widespread adoption of autonomous farming faces challenges including high initial costs , technological complexity , regulatory uncertainties and the need for reliable internet connectivity in rural areas .