Advanced robotics will make jobs such as harvesting easier for farmers. In time, when robots finally learn how to harvest each individual crop, farms will be able to produce more yields for human consumption.

Robotics Ignite Agricultural Revolution

JTech Today

 

Agriculture has come a long way since the time of horse-drawn carts. With the green revolution, fueled by the advancements in machineries, plant breeding, and pesticides, crops have doubled their yields in developing countries since the 80s.

While it is unlikely that another breakthrough in yield advancements will happen anytime soon, Simon Pearson, the director for the Lincoln Institute of Agri Food Technology, believes that an agricultural revolution is on its way thanks to robotics.

 

Robotic harvesting

Perception and vision technology is already being applied to robotics in agriculture. One of the most advanced machineries today is the camera-guided mechanical weeder, which is very important for the harvesting of specific crops.


Image credit: Popular Science

Broccoli, for example, is one of the most labor-intensive produce that farmers face on a daily basis. That's because picking broccoli requires a skilled human to select heads that are ready for the market, and cut them in the right corners as they move through the crop. Without human intervention, large amounts of broccoli would become damaged and would never reach the consumer market.

The arrival of camera-guided mechanical weeders is timely given the situation that the UK is facing. The country is preparing to leave the EU, which means access to foreign labor may be reduced due to immigration laws. Currently, there are a high percentage of immigrants working as field operatives in the UK.

Tom Duckett, a robotics expert from the University of Lincoln, says that they have already produced a trainable vision system using cameras, and a software algorithm that measures the location of each broccoli that is ready for harvesting. Initial tests have been made in the UK and the machine is said to be 95% accurate.

 

Artificial intelligence

Apart from perception and vision technology, robotic equipment in the agricultural sector will need to be developed to cope with the ever-changing landscape of the industry. Unfortunately, experts suggest that robots will not be able to do this by themselves at the moment given the fact that programmers are unable to fine tune the robots for the huge range of crops that are present in today's food chain.

Because of this flaw, robots will still require some form of human training first in order to ensure that they operate properly and can carry out all their required tasks.

Robotics will always require fine tuning based on human intelligence. According to a blog post by Telogis, people shouldn't be afraid of robots taking over completely and unemployment rates skyrocketing as an result. For the most part, AI is still very much in its infancy especially in agriculture.

Advanced robotics will make jobs such as harvesting easier for farmers. In time, when robots finally learn how to harvest each individual crop, farms will be able to produce more yields for human consumption.

 
 
The content & opinions in this article are the author’s and do not necessarily represent the views of RoboticsTomorrow

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

3D Vision: Ensenso B now also available as a mono version!

3D Vision: Ensenso B now also available as a mono version!

This compact 3D camera series combines a very short working distance, a large field of view and a high depth of field - perfect for bin picking applications. With its ability to capture multiple objects over a large area, it can help robots empty containers more efficiently. Now available from IDS Imaging Development Systems. In the color version of the Ensenso B, the stereo system is equipped with two RGB image sensors. This saves additional sensors and reduces installation space and hardware costs. Now, you can also choose your model to be equipped with two 5 MP mono sensors, achieving impressively high spatial precision. With enhanced sharpness and accuracy, you can tackle applications where absolute precision is essential. The great strength of the Ensenso B lies in the very precise detection of objects at close range. It offers a wide field of view and an impressively high depth of field. This means that the area in which an object is in focus is unusually large. At a distance of 30 centimetres between the camera and the object, the Z-accuracy is approx. 0.1 millimetres. The maximum working distance is 2 meters. This 3D camera series complies with protection class IP65/67 and is ideal for use in industrial environments.