Abstract

A sensor network for measuring and processing agricultural sensor measurements having multi-depth sensors, field monitors, and/or field data collection systems. The multi-depth sensor having a GPS; sets of physical sensors located at different depths; a processing structure sampling measurements from the physical sensors; and storing the measurements. The field monitor for use with a mobile platform having: a housing; a camera; a LiDAR sensor; a processing structure capturing point data and image data; generating above-ground field data; and determining crop data. The field data collection system having a stationary field monitor and one or more mobile field monitors capturing above-ground data. The stationary field monitor and the mobile field monitors having an associated GPS. The multi-depth sensors capture below-ground data and communicating the below-ground data to the stationary field monitor. A GPU processes the above-ground data and the GPS data to generate a point cloud data set.

IPC Classes  ?

• A01B 79/00 - Methods for working soil
• G01C 15/00 - Surveying instruments or accessories not provided for in groups
• G01C 15/06 - Surveyors' staffsMovable markers
• G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
• G06T 7/10 - SegmentationEdge detection
• H04N 23/53 - Constructional details of electronic viewfinders, e.g. rotatable or detachable

Abstract

A sensor network for measuring and processing agricultural sensor measurements having multi-depth sensors, field monitors, and/or field data collection systems. The multi-depth sensor having a GPS; sets of physical sensors located at different depths; a processing structure sampling measurements from the physical sensors; and storing the measurements. The field monitor for use with a mobile platform having: a housing; a camera; a LiDAR sensor; a processing structure capturing point data and image data; generating above-ground field data; and determining crop data. The field data collection system having a stationary field monitor and one or more mobile field monitors capturing above-ground data. The stationary field monitor and the mobile field monitors having an associated GPS. The multi-depth sensors capture below-ground data and communicating the below-ground data to the stationary field monitor. A GPU processes the above-ground data and the GPS data to generate a point cloud data set.

IPC Classes  ?

• A01G 7/00 - Botany in general
• A01G 9/20 - Forcing-framesLights
• G01D 21/00 - Measuring or testing not otherwise provided for
• G01S 17/86 - Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
• G06Q 50/02 - AgricultureFishingForestryMining

Abstract

There is provided a computer vision monitoring system and method for use in agriculture. The system has a frame; a battery mounted to the frame and providing electrical power; a Light Detection and Ranging (LiDAR) sensor mounted to the frame; a camera mounted to the frame; an enclosure mounted to the frarne, the enclosure housing a processing structure. The processing structure executes instructions such as capturing point data from the LiDAR sensor; capturing image data from the camera; generating a 3D color-assigned cloud point data set from the image data and the point data; and determining crop characteristic data. The method involves similar steps as executed by the processing structure.

IPC Classes  ?

• A01G 7/00 - Botany in general
• A01G 9/20 - Forcing-framesLights
• G01S 17/86 - Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
• G06Q 50/02 - AgricultureFishingForestryMining
• H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
• H02J 7/35 - Parallel operation in networks using both storage and other DC sources, e.g. providing buffering with light sensitive cells
• H04N 13/271 - Image signal generators wherein the generated image signals comprise depth maps or disparity maps
• H04N 13/388 - Volumetric displays, i.e. systems where the image is built up from picture elements distributed through a volume

Abstract

There is provided a computer vision monitoring system and method for use in agriculture. The system has a frame; a battery mounted to the frame and providing electrical power; a Light Detection and Ranging (LiDAR) sensor mounted to the frame; a camera mounted to the frame; an enclosure mounted to the frame, the enclosure housing a processing structure. The processing structure executes instructions such as capturing point data from the LiDAR sensor; capturing image data from the camera; generating a 3D color-assigned cloud point data set from the image data and the point data; and determining crop characteristic data. The method involves similar steps as executed by the processing structure.

IPC Classes  ?

• A01B 79/00 - Methods for working soil
• G01C 15/00 - Surveying instruments or accessories not provided for in groups
• G01C 15/06 - Surveyors' staffsMovable markers
• G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
• G06T 7/10 - SegmentationEdge detection
• H04N 23/53 - Constructional details of electronic viewfinders, e.g. rotatable or detachable

Abstract

A sensor network for measuring and processing agricultural sensor measurements having multi-depth sensors, field monitors, and/or field data collection systems. The multi-depth sensor having a GPS; sets of physical sensors located at different depths; a processing structure sampling measurements from the physical sensors; and storing the measurements. The field monitor for use with a mobile platform having: a housing; a camera; a LiDAR sensor; a processing structure capturing point data and image data; generating above-ground field data; and determining crop data. The field data collection system having a stationary field monitor and one or more mobile field monitors capturing above-ground data. The stationary field monitor and the mobile field monitors having an associated GPS. The multi-depth sensors capture below-ground data and communicating the below-ground data to the stationary field monitor. A GPU processes the above-ground data and the GPS data to generate a point cloud data set.

IPC Classes  ?

• A01B 79/00 - Methods for working soil
• G01C 15/00 - Surveying instruments or accessories not provided for in groups
• G01C 15/06 - Surveyors' staffsMovable markers
• G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
• G06T 7/10 - SegmentationEdge detection
• H04N 23/53 - Constructional details of electronic viewfinders, e.g. rotatable or detachable

Goods & Services

(1) Electronic sensors for measuring and scanning fields for crop monitoring; computer software for use in in collecting and processing agricultural sensor measurements; computer hardware device for collecting and processing precision agricultural sensor measurements by using artificial intelligence (AI). (1) Software as a service (SaaS) and platforms as a service (PaaS) services for use in real-time monitoring, protein management, decision support, and insurance applications for crops in the agricultural field.