Semantic Segmentation to Identify and Treat Plants in a Field and Verify the Plant Treatments

    公开(公告)号:US20190362146A1

    公开(公告)日:2019-11-28

    申请号:US16126842

    申请日:2018-09-10

    Abstract: 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.

    Modular precision agriculture system

    公开(公告)号:US10327393B2

    公开(公告)日:2019-06-25

    申请号:US15061624

    申请日:2016-03-04

    Abstract: A modular system includes a hub and a set of modules removably coupled to the hub. The modules are physically coupled to the frame relative to each other so that each module can operate with respect to a different row of a field. An individual module includes a sensor for capturing field measurement data of individual plants along a row as the modular system moves through the geographic region. An individual module further includes a treatment mechanism for applying a treatment to the individual plants of the row based on the field measurement data before the modular system passes by the individual plants. An individual module further includes a computing device that determines the treatment based on the field measurement data and communicates data to the hub. The hub is communicatively coupled to the modules, so that it may exchange data between the modules and with a remote computing system.

    PLOT GAP IDENTIFICATION
    75.
    发明申请

    公开(公告)号:US20180121726A1

    公开(公告)日:2018-05-03

    申请号:US15341890

    申请日:2016-11-02

    CPC classification number: G06K9/00657 A01G7/00 A01G22/00

    Abstract: Field data is collected of a field. Each instance of field data contains information that can be used to determine a value corresponding to whether or not a plant is present or absent in a particular location and is referred to as a plant presence value. The plant presence values are aggregated using the position data associated with each instance of field data to generate aggregated plant presence values. Gaps between plots are identified based partly on variations in the plant presence values within the aggregated field data. Information known about a field can be used to heuristically identify gaps in a seed line or used to eliminate locations on a seed line that may look like a gap based on low plant presence values. The aggregated plant presence values can be presented as a heat map of plant presence values showing the relative plant density of the field.

    Method for automatic phenotype measurement and selection

    公开(公告)号:US09658201B2

    公开(公告)日:2017-05-23

    申请号:US14329161

    申请日:2014-07-11

    Abstract: A system for plant parameter detection, including: a plant morphology sensor having a first field of view and configured to record a morphology measurement of a plant portion and an ambient environment adjacent the plant, a plant physiology sensor having a second field of view and configured to record a plant physiology parameter measurement of a plant portion and an ambient environment adjacent the plant, wherein the second field of view overlaps with the first field of view; a support statically coupling the plant morphology sensor to the physiology sensor, and a computing system configured to: identify a plant set of pixels within the physiology measurement based on the morphology measurement; determine physiology values for each pixel of the plant set of pixels; and extract a growth parameter based on the physiology values.

    Method and apparatus for automated plant necrosis
    80.
    发明授权
    Method and apparatus for automated plant necrosis 有权
    自动化植物坏死的方法和装置

    公开(公告)号:US09064173B2

    公开(公告)日:2015-06-23

    申请号:US13788359

    申请日:2013-03-07

    Inventor: Lee Kamp Redden

    Abstract: A method of real-time plant selection and removal from a plant field including capturing a first image of a first section of the plant field, segmenting the first image into regions indicative of individual plants within the first section, selecting the optimal plants for retention from the first image based on the first image and the previously thinned plant field sections, sending instructions to the plant removal mechanism for removal of the plants corresponding to the unselected regions of the first image from the second section before the machine passes the unselected regions, and repeating the aforementioned steps for a second section of the plant field adjacent the first section in the direction of machine travel.

    Abstract translation: 一种从植物领域实时植物选择和移除的方法,包括捕获植物区域的第一部分的第一图像,将第一图像分割成指示第一部分内的单个植物的区域,选择用于保留的最佳植物 基于第一图像和先前变薄的植物场部分的第一图像,在机器通过未选择的区域之前,向第二部分发送指示给植物去除机构以从第二部分移除与第一图像的未选择区域相对应的植物;以及 对机器行进方向上与第一部分相邻的植物场的第二部分重复上述步骤。

Patent Agency Ranking