𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗥𝗼𝗯𝗼𝘁𝘀 𝗶𝗻 𝗦𝗺𝗮𝗿𝘁 𝗙𝗮𝗿𝗺𝗶𝗻𝗴: 𝗔 𝗚𝗹𝗶𝗺𝗽𝘀𝗲 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 Introduction Agriculture robots, also known as agribots or agri-robots are machines specifically designed to perform various agricultural tasks autonomously or semi-autonomously. These robots can help farmers increase efficiency, reduce labor costs, and optimize crop yields by carrying out tasks such as planting, harvesting, weeding, and spraying. Agribots can range from small unmanned aerial vehicles to large tractors and combine harvesters. They utilize advanced technologies such as computer vision, artificial intelligence (AI), and others. These robots can monitor crops for early detection of diseases and pests, allowing prompt and efficient treatment

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𝗧𝗵𝗲 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗖𝗡𝗖 𝗗𝗿𝗶𝗹𝗹𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲𝘀: 𝗔 𝗚𝗹𝗼𝗯𝗮𝗹 𝗠𝗮𝗿𝗸𝗲𝘁 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 A CNC drilling machine, also known as a computer numerical control drilling machine, is a precision machining tool used for drilling holes in various materials. It utilizes computerized controls and automated movements to accurately position and drill holes based on pre-programmed instructions. CNC drilling machines are widely used in industries such as manufacturing, aerospace, automotive, and electronics. They offer numerous advantages over conventional drilling methods, including increased productivity, improved accuracy, reduced human error, and the ability to produce complex hole patterns. These machines are capable of drilling holes in a wide range of materials, including metals, wood, plastic, composites, and ceramics.

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗩𝗶𝘀𝗶𝗼𝗻-𝗚𝘂𝗶𝗱𝗲𝗱 𝗥𝗼𝗯𝗼𝘁𝘀: 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗮𝗻𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 A vision-guided robot (VGR) is a robot system that comprises a camera, sensors, and microprocessor or computer, with associated software. These robots provide accurate feedback signals about the ongoing situation to the robot controller. They are widely used for appearance inspection, dimension inspection, counting, as well as picking, and positioning. The camera system can be divided into two broad categories, such as 2D and 3D cameras. 2D vision cameras capture an image of an object using a two-dimensional map of reflected intensity. It helps in barcode reading, label orientation, printing verification, and others. 3D cameras enhance utility, flexibility, and velocity to adapt to environmental changes while performing tasks including pick and place. These robots are used in industries for quality control to check dimensions, angles, color, surface structure, and nearby object recognition. VGRs that use machine vision and image processing technologies have been extensively used in industries, such as automotive, aerospace, metal processing, and others to achieve high productivity without delays.