Agricultural Robot (Agribot)
Agribot also known as agricultural robotis a robot designed for use in the agricultural industry. By automating tasks for farmers, agribots increase the efficiency of production and reduce the industry’s dependence on manual labor.
The biggest advantages of AgribotsOne of them is that they can work 24/7, 365 days a year. Unlike human labor, there is no need to pay, just maintenance.
Agribot continues to grow and investors are more focused than ever on sustaining our economy through automation, robotics, vertical farming, modern greenhouse applications, artificial intelligence and precision agriculture.
Some of the main applications of robots in agriculture include:
- Harvest and gathering
- Autonomous mowing, seeding, spraying and pruning
- Sorting and packaging
human population grows, farmers are forced to use new technologies to meet increasing demand. It is expected that there will be approximately 9 billion people in the world by 2050. The IEEE Robotics and Automation Society says agricultural production must double to meet growing food and bioenergy demands.
Robotics and automation are expected to play an important role in society to meet the food demand of 9 billion people. Agriculture is undergoing a high-tech revolution as manufacturers increasingly turn to robotics to address multiple challenges.
in robotization As the latest trends show, innovative technologies and automation of tasks can help overcome some of the challenges.
Harvesting and Gathering Robots
Harvesting and picking robots are best suited for high-value crops such as grapes, where harvesting is traditionally laborious and time-consuming. Nanotechnology, Material science And mecartonic Innovations such as allow picking robots not only to detect fruits and analyze their ripeness, but also to grasp and sort them without damage.
According to Future Farming, in the near future for crops such as broccoli, citrus, cauliflower, kiwi, tomatoes, cucumbers, peppers, lettuce, mangoes and watermelon. harvest robots available. Even some field robots; It can take over activities such as tillage, seeding, crop care and mowing from tractors.
High-value crops (including a variety of lettuces, strawberries, blueberries, oranges and other citrus fruits and grapes) appear to offer the best examples for robots to sort through. These robots are especially useful in situations where steep terrain is hazardous to workers and equipment. Thanks to precision technology weeding robots it can also direct specific doses of herbicides to weeds, radically reducing the amount of herbicide applied.
Dairy farmers are switching from traditional milking methods to automated milking methods to meet the exponential increase in global milk demand while addressing labor shortages. milking robotshelps increase the productivity and efficiency of the milking process. The expectation is that market share will shift from stand-alone units to multi-stall units and then to advanced rotary units in the coming years. Automatic feeding and barn cleaning systems also help increase efficiency in the sector.
Due to the increasing awareness of drones in agricultural applications, global agriculture drones The market is expected to grow most steadily. Agricultural enterprises, among other things, soil analysissowing, crop spraying, crop monitoring, irrigation and animal health uses unmanned aerial vehicles (also known as Unmanned Aerial Vehicles) to collect data for its assessments.
The decline in component prices and improvements in stability and reliability are expected to become more widespread, especially with relatively low-cost projects from Asian countries.
Will Agricultural Robots Become Widespread?
The United States, Europe, Australia, and Japan to replace human labor in performing ordinary agricultural tasks robotic systems And autonomous agricultural machines These are the main adopting regions. While robotic systems are already well established in the dairy industry, harvesting, picking and sorting will quickly catch up from 2025.
Adopting new technologies such as robotics, machine learning, etc. will be a key factor in the changing face of agriculture worldwide. It will also reshape the definition of agricultural workers, ease the workload, and also show promising results in crop productivity, increased yields and managed input costs.