Andrei Polzounov,James Patrick Ostrowski,Lee Kamp Redden,Olgert Denas,Chia-Chun Fu,Chris Padwick
申请号：
US16126842
公开号：
US10713484B2
申请日:
2018.09.10
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A farming machine including a number of treatment mechanisms treats plants according to a treatment plan as the farming machine moves through the field. The control system of the farming machine executes a plant identification model configured to identify plants in the field for treatment. The control system generates a treatment map identifying which treatment mechanisms to actuate to treat the plants in the field. To generate a treatment map, the farming machine captures an image of plants, processes the image to identify plants, and generates a treatment map. The plant identification model can be a convolutional neural network having an input layer, an identification layer, and an output layer. The input layer has the dimensionality of the image, the identification layer has a greatly reduced dimensionality, and the output layer has the dimensionality of the treatment mechanisms.
