Corn Detasseling Robot with Visual Tassel Recognition
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Solution Overview
Problem
Conventional detasseling machines are prone to errors and inefficiencies due to variations in terrain, corn plant height, and planting density, leading to low detasseling rates and increased labor costs.
Innovation Solution
A corn detasseling inspection robot equipped with a control terminal, moving device, and detasseling device, which includes a detection module, tassel recognition module, and detasseling control module to accurately identify and remove corn tassels based on a detasseling operation point prediction model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional ground detasseling machines are used, then detasseling can be performed mechanically, but the single detasseling rate is low and there are errors and leakage detasseling due to terrain variations, corn plant height differences and planting density variations
Solution Approach 1:
The patent replaces traditional mechanical detasseling systems with an intelligent robot system that uses image recognition, depth detection, and automated control. The robot captures images of corn plants, identifies tassel positions through image processing, calculates root positions using a prediction model, and executes precise detasseling operations, thereby achieving high accuracy and high single detasseling rate while eliminating errors and leakage detasseling caused by terrain variations and plant height differences
Solution Approach 2:
The patent introduces an intermediary information processing layer between the robot and the corn plants. This includes image capture modules, image recognition modules, depth detection modules, and a detasseling operation point prediction model that processes visual information to determine precise root positions. This intermediary system enables the robot to accurately identify and locate tassels despite variations in terrain, plant height, and planting density, thereby resolving the contradiction between productivity and reliability
2Productivity
If manual detasseling is used, then detasseling can be performed with high flexibility, but labor intensity is high, detasseling efficiency is low, and labor costs are expensive
Solution Approach 1:
The patent implements a self-service autonomous robot system that performs detasseling operations independently without human intervention. The robot autonomously navigates the corn field, captures images of corn plants, processes visual data to identify tassel positions, calculates root positions using the prediction model, and executes detasseling operations automatically. This eliminates manual labor entirely, achieving high detasseling efficiency while reducing labor intensity to zero and eliminating associated labor costs
Solution Approach 2:
The patent replaces manual mechanical detasseling with an automated robot system that uses image recognition, depth detection, and controlled mechanical movement. The robot system processes visual information through computational algorithms and executes precise physical operations, thereby achieving high productivity and eliminating the need for human labor, thus resolving the contradiction between productivity and ease of operation
3Productivity
If traditional ground detasseling machines are used, then detasseling can be performed, but repeated search and detasseling is often needed due to errors and leakage detasseling
Solution Approach 1:
The patent implements a feedback mechanism where the robot captures images of corn plants before and after detasseling operations. The image recognition module processes these images to verify whether the tassel has been successfully removed. If the tassel is still present or if incorrect detasseling occurred, the system identifies the error and triggers a feedback loop for corrected operations. This feedback mechanism ensures high single detasseling rate by preventing errors and leakage detasseling from occurring in the first place, thereby eliminating the need for repeated search and detasseling and resolving the contradiction between productivity and time loss
Data Source
AI summary
Provided is a corn detasseling inspection robot and a method for performing detasseling by using the same. The corn detasseling inspection robot includes a control terminal, a moving device and a detasseling device; wherein the control terminal includes a detection module, a detasseling control module and a tassel recognition module; the detection module is configured for acquiring an image of a corn plant; the tassel recognition module is configured for judging whether there is a corn tassel on the corn plant based on the image of the corn plant, and determining a position of a root of the corn tassel based on a detasseling operation point prediction model in the case where there is the corn tassel on the corn plant; and the detasseling control module is configured for controlling the moving device and using the detasseling device to perform detasseling based on the position of the root.