Real-time identification and positioning and intelligent picking device for greenhouse tomatoes

Abstract

The invention discloses a real-time identification and positioning and intelligent picking device for greenhouse tomatoes, comprising a trolley body, a camera module, a main control module, a grasping module and an additional function expansion module; the camera module is arranged on the grasping module, and the trolley body is provided with additional functions Expansion module and main control module; realize intelligent identification, precise positioning and non-destructive grasping of tomato fruit.

Description

technical field [0001] The invention relates to the field of cell biology, in particular to a device for real-time identification, positioning and intelligent picking of greenhouse tomatoes. Background technique [0002] With the development of production technology, the scale of fruit and vegetable planting is gradually expanding. Fruit and vegetable picking efficiency is an important factor affecting agricultural production efficiency. However, the traditional fruit and vegetable picking process is very dependent on the agricultural population, and fruits and vegetables are affected by the environment and nutrient absorption. , the maturity cycle is inconsistent, which makes the human picking cycle long, thus increasing labor costs and reducing economic benefits; on the other hand, manual picking activities are affected by physical strength and working environment conditions, and the picking efficiency is low; traditional picking tools also have damage to fruits and vegetab...

AI Technical Summary

Problems solved by technology

[0002] With the development of production technology, the scale of fruit and vegetable planting is gradually expanding. Fruit and vegetable picking efficiency is an important factor affecting agricultural production efficiency. However, the traditional fruit and vegetable picking process is very dependent on the agricultural population, and fruits and vegetables are affected by the environment and nutrient absorption. , the maturity cycle is inconsistent, which makes the human picking cycle long, thus increasing labor costs and reducing economic benefits; on the other hand, manual picking activities are affected by physical strength and working environment conditions, and the picking efficiency is low; traditional picking tools also have damage to fruits and vegetables , environmental pollution and other issues, so the mechanization, automation and intelligence of fruit and vegetable picking is one of the key issues in the current research on the picking process

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