公开(公告)号：US12088773B1

公开(公告)日：2024-09-10

申请号：US18444378

申请日：2024-02-16

Applicant: Tartan Aerial Sense Tech Private Limited

Inventor： Dhivakar Kanagaraj ,  Pranav M P ,  Raghul Raghu ,  Parth Gupta ,  Ananya Mahapatra

IPC: G06K9/36 ,  G06T11/60 ,  G06V10/25 ,  G06V10/56 ,  G06V20/10 ,  H04N1/60

CPC classification number: H04N1/6002 ,  G06T11/60 ,  G06V10/25 ,  G06V10/56 ,  G06V20/188

Abstract: A camera apparatus includes control circuitry configured to acquire an input color image of an agricultural field, detect one or more foliage regions, and generate output binary mask images of foliage mask indicating one or more foliage regions and a soil region. The control circuitry is configured to convert the input color image to a Hue, Saturation, Lightness (HSV) color space to obtain an HSV image. Thereafter, the control circuitry is configured to selectively adjust a hue component and convert back to the RGB color space to obtain a soil region-adjusted RGB image. Furthermore, generate an augmented color image by combining pixels of the soil region, with pixels of the one or more foliage regions and utilize the generated augmented color image in training of a crop detection (CD) neural network model to learn a plurality of different types of soil and a range of color variation of soil.

公开(公告)号：US20250133177A1

公开(公告)日：2025-04-24

申请号：US18791123

申请日：2024-07-31

Applicant: Tartan Aerial Sense Tech Private Limited

Inventor： Dhivakar Kanagaraj ,  Pranav M P ,  Raghul Raghu ,  Parth Gupta ,  Ananya Mahapatra

IPC: H04N1/60 ,  G06T11/60 ,  G06V10/25 ,  G06V10/56 ,  G06V20/10

Abstract: A training server acquires an input color image of an agricultural field, detects one or more foliage regions in the input color image, and generates output binary mask images of foliage mask indicating one or more foliage regions and a soil region. The training server further generates an augmented color image by combining pixels of the soil region adjusted for soil hue, with pixels of the one or more foliage regions unaltered from the acquired input color image in the RGB color space. The training server then utilizes the generated augmented color image in training of a crop detection (CD) neural network model.