公开(公告)号：US20240032450A1

公开(公告)日：2024-02-01

申请号：US18251485

申请日：2021-11-01

Applicant: TECHNISCHE UNIVERSITÄT DRESDEN

Inventor： Thomas HERLITZIUS ,  André GROSA ,  Mario HENKE ,  Martin HENGST ,  Jonathan KRESS

IPC: A01B63/10 ,  A01B79/00

CPC classification number: A01B63/10 ,  A01B79/005

Abstract: The invention relates to a device comprising: at least one tool module (4) having a quick-coupling interface (19); at least one support having a quick-coupling interface (19) and designed to hold the at least one tool module; and at least one data processing unit designed for computer-assisted tool management. The support for holding the tool module (4) comprises at least one support frame (16), at least one interface (21) for computer-assisted tool module identification, and at least one sensor unit. The support frame comprises at least one quick-coupling interface (19) for a tool module. The tool module comprises at least one implement (18) for use outdoors, at least one suspension that is compatible with the quick-coupling point on the support frame, at least one computer-readable storage medium (22) for computer-readable data, and at least one interface for transmission of computer-readable data. During the work processes the condition of the tools is detected by means of a pertaining tool management system and stored in a storage medium. Each tool module is unambiguously associated with a storage medium.

公开(公告)号：US11877528B2

公开(公告)日：2024-01-23

申请号：US17461373

申请日：2021-08-30

Applicant: Deere & Company

Inventor： Tyler D. Schleicher ,  Curtis A. Maeder ,  Noel W. Anderson

IPC: A01B79/00 ,  A01D41/127 ,  G05D1/02 ,  G05D1/00 ,  A01M7/00 ,  A01B79/02

CPC classification number: A01B79/005 ,  A01D41/127 ,  A01M7/0089 ,  G05D1/0094 ,  G05D1/0212 ,  A01B79/02

Abstract: A computer-implemented method of controlling a mobile agricultural machine includes obtaining prior field data representing a position of plants in a field, obtaining in situ plant detection data from operation of the mobile agricultural machine in the field, determining a position error in the prior field data based on the in situ plant detection data, and generating a control signal that controls the mobile agricultural machine based on the determined position error.

公开(公告)号：US20240011966A1

公开(公告)日：2024-01-11

申请号：US18026795

申请日：2021-08-19

Applicant: BRIAN BOSIRE ,  EVAN WADONGO

Inventor： BRIAN BOSIRE ,  EVAN WADONGO

IPC: G01N33/24 ,  A01B79/00 ,  G16Y20/10 ,  G16Y40/10 ,  G16Y10/05

CPC classification number: G01N33/246 ,  A01B79/005 ,  G16Y20/10 ,  G16Y40/10 ,  G16Y10/05 ,  G01N2033/245

Abstract: The disclosure relates to agricultural sensors for precision farming. It tests for soil moisture content, Potential of Hydrogen (pH), salinity, nutritional content, farm topology and employs the Internet of Things (IoT) technologies to analyze the data and make a prescription in real time. The disclosure is a combination of a handheld portable device system and a cloud-based analytics Platform. The hand-held device system contains a micro-processor, memory, keypad input interfaced with the output via a display, signal conditioner, data encoder and decoder, local bus allowing for in system communication, communications module with wireless communications capability and power management module. The hand-held device has attached probes for manual insertion into the soil for testing. The cloud-based platform consists of a database, algorithm and Application Programming Interface (API) which receives device data for processing. The derived recommendations are routed to an output gateway and in readable text format.

公开(公告)号：US11864484B2

公开(公告)日：2024-01-09

申请号：US16675919

申请日：2019-11-06

Applicant: CNH Industrial Canada, Ltd.

Inventor： Trevor Stanhope ,  James W. Henry

IPC: A01B79/00 ,  G01B11/24 ,  G01B15/04 ,  A01C23/00 ,  A01F15/07

CPC classification number: A01B79/005 ,  G01B11/24 ,  G01B15/04 ,  A01C23/00 ,  A01F15/07

Abstract: In one aspect, a system for determining soil clod size or soil surface residue coverage of a field may include an agricultural implement configured to perform a non-soil-working operation on the field as the agricultural implement is towed across the field. Furthermore, the system may include a non-contact-based sensor installed on the agricultural implement, with the non-contact-based sensor configured to capture data indicative of at least one of a soil clod size of the field or a soil surface residue coverage of the field. Additionally, a controller of the disclosed system may be configured to receive data from the non-contact-based sensor as the agricultural implement is moved across the field. Moreover, the controller may be configured to determine at least one of the soil clod size of the field or the soil surface residue coverage of the field based on the received data.

公开(公告)号：US20230413713A1

公开(公告)日：2023-12-28

申请号：US18465725

申请日：2023-09-12

Applicant: AgJunction LLC

Inventor： Thomas R. Kreider ,  Mark Alan Villela ,  Michael Brett McMickell ,  Luke Andrew McBeath

IPC: A01B69/04 ,  A01B79/00 ,  G05D1/00 ,  G05D1/02 ,  G06F5/06 ,  H04W4/021

CPC classification number: A01B69/008 ,  A01B79/005 ,  G05D1/0016 ,  G05D2201/0201 ,  G06F5/065 ,  H04W4/021 ,  G05D1/0219

Abstract: A precision steering computer installed on a tractor uses waypoints generated by a hand-held smart-device to steer a tractor. The smart-device is the operators primary interface and is a component of the entire precision agriculture guidance system. The batched, time ordered waypoints represent a list of coordinates for steering the tractor. As the tractor is automatically steered in the field, the waypoints are consumed and discarded by the real-time steering computer in the order they are received from the non-real-time smart device. A planned path is generated by the tractor operator on the smart device and the tractors progress and status are displayed on the same smart-device.

公开(公告)号：US11854033B2

公开(公告)日：2023-12-26

申请号：US18115904

申请日：2023-03-01

Applicant: Bao Tran

Inventor： Bao Tran

IPC: G06Q30/02 ,  G06Q50/02 ,  G05D1/00 ,  G05D1/10 ,  A01B79/00 ,  A01B79/02 ,  A01G25/09 ,  A01G25/16 ,  G05B17/02 ,  G05B17/00 ,  G06F3/01 ,  G16Y20/20 ,  G16Y10/05 ,  H04L9/06 ,  G06Q30/0201 ,  A01C23/04 ,  B64C39/02 ,  G06T7/00 ,  A01G22/00 ,  G06V20/10 ,  G06V10/764 ,  G06V10/82 ,  G06V20/17 ,  H04L9/00 ,  B64U30/20 ,  B64U101/30 ,  G06V10/58

CPC classification number: G06Q30/0206 ,  A01B79/005 ,  A01B79/02 ,  A01C23/047 ,  A01G22/00 ,  A01G25/09 ,  A01G25/165 ,  A01G25/167 ,  B64C39/024 ,  G05B17/02 ,  G05D1/0088 ,  G05D1/102 ,  G06F3/017 ,  G06Q50/02 ,  G06T7/0002 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/17 ,  G06V20/188 ,  G16Y10/05 ,  G16Y20/20 ,  H04L9/0643 ,  B64U30/20 ,  B64U2101/30 ,  G06Q2220/00 ,  G06V10/58 ,  H04L9/50

Abstract: An agricultural method includes providing a positive air pressure chamber to prevent outside contaminants from entering the chamber; growing crops in a plurality of cells in the chamber, each cell having multi-grow benches or levels, each cell further having connectors to vertical hoists for vertical movements in the chamber; maintaining pre-set temperature, humidity, carbon dioxide, watering and lighting levels to achieve predetermined plant growth; using motorized transport rails to deliver benches for operations including seeding, harvesting, grow media recovery, and bench wash; dispensing seeds in the cell with a mechanical seeder coupled to the transport rails; growing the crops with computer controlled nutrients, light and air level; and harvesting the crops and delivering the harvested crop at a selected outlet of the chamber.

公开(公告)号：US20230397521A1

公开(公告)日：2023-12-14

申请号：US18208837

申请日：2023-06-12

Applicant: iUNU, Inc.

Inventor： Adam Phillip Takla GREENBERG ,  Ethan Victor TAKLA

IPC: A01B79/00 ,  A01B79/02 ,  G06V20/10 ,  G06V20/17 ,  G06V10/70 ,  G06T7/00

CPC classification number: A01B79/005 ,  A01B79/02 ,  G06V20/188 ,  G06V20/17 ,  G06V10/70 ,  G06T7/0012 ,  G06T2207/10032 ,  G06T2207/20081 ,  G06T2207/30188

Abstract: Disclosed are techniques for providing automated scouting of a grow operation in order to facilitate early detection and treatment of various conditions. Such techniques may comprise receiving sensor data from a number of sensors within a grow operation, determining current data values for a number of attributes to be associated with locations within the grow operation, identifying one or more regions within the grow operation potentially associated with a condition, providing instructions to at least one robotic device to perform a scouting operation of the one or more regions, and determining, based on information collected during the scouting operation, whether the condition is present in the one or more regions.

公开(公告)号：US11839173B2

公开(公告)日：2023-12-12

申请号：US17808634

申请日：2022-06-24

Applicant: DEERE & COMPANY

Inventor： Brandon M. McDonald ,  Jacob D. Mayer ,  Thomas G. Mueller ,  Benjamin M. Smith ,  Ryan Jensen

IPC: A01B79/00 ,  A01B33/08 ,  A01B69/04 ,  A01C7/02 ,  A01C14/00 ,  A01C7/20

CPC classification number: A01B79/005 ,  A01B33/087 ,  A01B69/008 ,  A01C7/203 ,  A01C14/00

Abstract: A compaction mitigation system for a work area and a method of mitigating compaction in a work area may include determining a compaction map of the work area having compaction data associated with a plurality of reference points, passing a work tool through the work area at the plurality of reference points, and adjusting the work tool at the plurality of reference points based on the compaction data.

公开(公告)号：US20230389462A1

公开(公告)日：2023-12-07

申请号：US18454306

申请日：2023-08-23

Applicant: Deere & Company

Inventor： Qiang R. LIU ,  Patrick C. DOUGHERTY ,  Michael R. MOODY ,  Ajit K. THANKAPPAN PILLAI

IPC: A01B79/00

CPC classification number: A01B79/005

Abstract: A computer-implemented method of controlling a mobile agricultural machine includes receiving field map data representing a first agricultural operation performed on a field, receiving a location sensor signal indicative of a sensed geographic location of the mobile agricultural machine on the field, the mobile agricultural machine having a plurality of sections that are independently controllable to perform a second agricultural operation on the field that is different than the first agricultural operation, and generating a control signal to control the plurality of sections based on the field map data and the location sensor signal.

公开(公告)号：US20230389460A1

公开(公告)日：2023-12-07

申请号：US18056677

申请日：2022-11-17

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Renato Luiz DE FREITAS CUNHA ,  Anirudh BADAM ,  Patrick Bernd BUEHLER ,  Ranveer CHANDRA ,  Debasis DAN ,  Maria Angels de LUIS BLAGUER ,  Swati SHARMA ,  FNU ADITI ,  Sara Malvar MAUA

IPC: A01B79/00 ,  A01B79/02 ,  G06N3/04 ,  G06N3/08 ,  G01W1/02 ,  G01W1/14

CPC classification number: A01B79/005 ,  A01B79/02 ,  G06N3/0454 ,  G06N3/08 ,  G01W1/02 ,  G01W1/14

Abstract: A deep learning system is used to predict crop characteristics from inputs that include crop variety features, environmental features, and field management features. The deep learning system includes domain-specific modules for each category of features. Some of the domain-specific modules are implemented as convolutional neural networks (CNN) while others are implemented as fully-connected neural networks. Interactions between different domains are captured with cross attention between respective embeddings. Embeddings from the multiple domain-specific modules are concatenated to create a deep neural network (DNN). The prediction generated by the DNN is a characteristic of the crop such as yield, height, or disease resistance. The DNN can be used to select a crop variety for planting in a field. For a crop that is planted, the DNN may be used to select a field management technique.