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Farmers plant will work in the field.

Discovery said, to help the computer recognize the trees, flowers, fruits, roots or leaves can be harvested, Edan and colleagues sought to make the smart sensor system. For example, they use multi-spectral camera to analyze the wavelengths of light to the object...

The robot is now hardly possible to determine the effect on the plant can be harvested. Photo: qwikstep.eu.
For these reasons, the engineers can not create software robot or computer help determine what agricultural products can be harvested.
"The technology to create robots for agricultural activities has a long life, but now we start to consider making them for sale. So I think the robot will be on the field in five years, "Yael Edan, an expert in mechanical engineering and robotics at the University of the Negev in Israel, said.
Farmers in developed countries have used machines tractors, combine harvesters, milking cows and many other modern equipment. But picking the fruits and vegetables are hardly any machines do. For example, the machine can not determine how ripe the grapes or any young tabloid. Each fruit, branches, leaves, flowers are the shape, color, size separately. Different light conditions also caused the appearance of agricultural change. Robot can recognize the yellow fruit, red, purple or green leaves among, but they'll be "impotent" if it has green leaves.
Determined to obtain agricultural products, pesticides, harvesting robots are things farmers can do on the field in the future, the scientists assert Israel.
"We will create an algorithm helps robots see everything as simple shapes. When agricultural products partially obscured by leaves, it will still get out, "Edan said.
Discovery said, to help the computer recognize the trees, flowers, fruits, roots or leaves can be harvested, Edan and colleagues sought to make the smart sensor system. For example, they use multi-spectral camera to analyze the wavelengths of light to the object. In which the camera recorded images, the object appeared to a single appearance in any light conditions.
Tests showed that the group Edan built robot can determine the status (green, ripe or failure) of 80-85% of fruit on the tree. Their goal is to raise that figure to 90%.
After the robot to determine the harvest of agricultural products, agricultural products it will take a tool capable of holding. The biggest challenge of making this tool is that it must be to the right position and understanding of agricultural products with a moderate force for agricultural products is not dented, crushed or broken.
Along with other types of sensors and computer programs, the researchers also wanted to create "brain" machines to help robots learn from the mistakes in the process of working to improve the quality of work.

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