Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Provided are a work region setting portion which sets, within a traveling region, a work region for a working vehicle to perform predetermined work; and a traveling route setting portion which sets, within the traveling region, a target traveling route to make the working vehicle travel automatically. The traveling route setting portion includes: an initial route generation portion which generates an initial route based on a trajectory formed by the working vehicle traveling in the traveling region; a work route generation portion which generates work routes arranged in a parallel arrangement direction orthogonal to an extension direction; and a connection route generation portion which generates connection routes connecting, at either side of the work region, routes adjacent in the parallel arrangement direction among the initial route and the work routes. The target traveling route including the initial route, the work routes, and the connection routes is thereby set.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for field operations based on historical field operation data. An example apparatus disclosed herein includes a field map generator to generate a field map including locations of a plurality of crop rows, the locations of the plurality of crop rows determined based on a first implement path travelled by a first implement of a first vehicle during a first operation, the first implement having a first operational width, the first implement path different from a first vehicle path of the first vehicle during the first operation, and a guidance line generator to generate a guidance line for a second vehicle during a second operation on the field, the second vehicle including a second implement to perform the second operation, the second implement having a second operational width different from the first operational width, the guidance line based on (a) the field map and (b) the second operational width.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: The invention relates to a method for spreading spreading material onto agricultural land (12) by way of an agricultural spreader (10), with the steps of: providing information on spreading boundaries (14) of agricultural land (12) to an electronic control device and moving the agricultural spreader (10) in the direction of a predetermined activation point in the vicinity of a spreading boundary (14) of the agricultural land (12) at which the start of dispensing spreading material onto at least one spreading disk is intended, where, while the dispensing of the spreading material is interrupted, the electronic control device automatically induces an anticipatory setting for a start configuration predetermined for the activation point at the agricultural spreader (10) before the agricultural spreader (10) reaches the activation point.

Abstract: The invention relates to a system and method for determining a status of plants. The system includes a light transmitter arranged for providing broad band illumination to one or more plants. The system includes a light receiver including a plurality of receiver channels, the receiver channels arranged for receiving light from said one or more plants in mutually different wavelength bands. The system includes a processing unit arranged for determining a status of said one or more plants on the basis of light received by the plurality of receiver channels. The transmitter may be arranged for transmitting bursts of modulated light.

Abstract: A path setting apparatus for an autonomous working machine that autonomously conducts a work while moving in a working site with recognizing a current location based on a GNSS signal, includes an obtaining unit configured to obtain information regarding reception strength of the GNSS signal on the working site, and a setting unit configured to set a movement path of the autonomous working machine in the working site based on the information obtained by the obtaining unit.

Abstract: The present disclosure relates to a height adjustment device (1) comprising a height adjustment screw (3) having outer threads (5) and being oriented substantially vertically and arranged rotatably in relation to a chassis (7), and an adjustment nut (9) connected to a bracket (11) and comprising inner threads (13) for engagement with the threads (5) of the adjustment screw (3), such that a rotary movement of the height adjustment screw (3) results in a vertical linear movement of the bracket (11). The adjustment nut comprises a first part (15) and a second part (17) which together enclose the adjustment screw (3), wherein the first part (15) being adapted to be attached to the second part. The present disclosure also considers a robotic mower (101) comprising such a height adjustment device.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A cutter implement for cutting crop material includes a housing, a cutter, and a push-bar. The housing has a forward end for engaging the crop material when moving in a direction of operation. The housing at least partially defines a cutting region disposed at the forward end thereof. The cutter is coupled to the housing and is operable to cut the crop material in the cutting region. The push-bar is positioned forward of the cutter relative to the direction of operation. The push-bar is operable to lean the crop material in a forward direction relative to the direction of operation. The push-bar is adjustable in a vertical direction relative to a ground surface.

Abstract: The cutter implement may include a housing, a cutter, and a curtain. The housing has a forward end for engaging the crop material when moving in a direction of operation. The housing at least partially defines a cutting region disposed at the forward end. The cutter is coupled to the housing and can cut the crop material in the cutting region. The curtain is coupled to the forward end of the housing and is positioned forward of the cutter relative to the direction of operation for engaging and leaning the crop material upstream of the cutter. The curtain includes a stiffness control feature operable to control a vertical stiffness of the curtain to provide a variable vertical stiffness that increases with an increase in a bend angle of the curtain rearward relative to the direction of operation.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: An apparatus for managing agricultural crops includes a vehicle and a user interface. The vehicle includes a navigation system, one or more vision systems, one or more removal tools, and a control system. The control system can include a data processing system, a data storage system, and a targeting system. The apparatus can be used to carry out one or more methods for managing agricultural crops, such as, for example, utilizing the vision system to capture images of an item to be targeted for removal by the removal tool, and utilizing the control system to process the images and position the removal tool to remove the item.

Abstract: A vegetation hanger includes a hanger portion and a crossbar. The hanger portion includes a first aperture, a stem, and a base. The first aperture is configured for handling of the vegetation hanger. The stem includes a first end portion and a second end portion. The stem extends from the first end portion towards the second end portion and defines a second aperture configured for hanging of the vegetation hanger. The crossbar is coupled to the hanger portion and defines a linear plate having a first edge, a second edge, a first end portion, and a second end portion.

Abstract: Methods and systems for performing pest infestation forewarning are described. In one embodiment, intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of grain storage container-based (e.g., silo-based) environments. The collected core data and ring data are analyzed to determine one or more changing situations of the storage container-based (e.g., silo-based) environments. A system forewarning is generated based on the changing situations that are observed.

Abstract: The present disclosure relates to a method for building a farmland ecosystem with multiple mutual-benefit species in multiple habitats, and belongs to the technical field of agroecological environment. The present disclosure improves the resource utilization efficiency of the farmland ecosystem to the maximum extent, greatly reduces application of chemical fertilizer and pesticides, and reduces environmental damage and pollution. By means of different ecological niches of living things, a beneficial ecological service function is brought into play such that species in the farmland ecosystem can live in a suitable farmland microenvironment, competition for the same living space in the same place is avoided, and harmonious coexistence among the living things is realized; and food with high quality and a higher grain output value are provided.

Abstract: The present disclosure relates to a method for efficiently enriching lutein in broccoli sprouts under ?-aminobutyric acid combined with sodium chloride stress. In the present disclosure, Qingfeng broccoli seeds with plump particles, uniform size and germination ability are selected as raw materials; after removing impurities and being disinfected by a NaClO solution, the seeds are sprayed with distilled water for one day, then sprayed with a mixed aqueous solution of NaCl and ?-aminobutyric acid, to obtain broccoli sprouts.

Abstract: The invention provides flexible or rigid vessels in different configurations with openings at their ends and a hollow body between them for growing plants. The hollow body is filled with a growing medium to manipulate the routing of the plants roots. Such vessels allow growth of plants in a limited space without compromising the ability of the plants to grow roots of natural length; enabling resource savings by reducing amounts of the growing medium and nutrients and their dispersion to the surrounding, evaporation and water infiltration. These advantages result in a reduction of weight of the growing medium for growing roots. These vessels also protect the plant roots from pests and weeds and allow the plants to grow even in unsuitable terrain, such as rocky, salty or contaminated soil. Also, the vessels can be used to grow plants for ornamental purposes in a beautiful and aesthetic way.

Abstract: A system includes a base plate, a stand, an adjustable lighting fixture that overhangs the base plate and is attached to the stand, and a growing container that fits within the base plate. The growing container accommodates a plant growing system. The plant growing system includes a biodegradable outer shell, a rooting media, a fertilizer or nutrient, and a removable lid.

Abstract: A system for automated farming of potted plants is disclosed and includes a closed-loop conveyor system configured to facilitate gradual cyclic mobility and storage of a plurality of potted plants. The system also includes at least one centralized processing zone disposed along the conveyor system and configured to perform at least one operation such as fertilization, irrigation, treatment, instrumentation, repotting, seeding, and inspection on each individual pot. The processing zone includes at least one sensor configured to detect at least one property of a potted plant. The system also includes a processing unit in communication with the at least one sensor, the processing unit configured to determine a state of each potted plant based on the at least one detected property. The state describes a physical state of the potted plant.

Abstract: A boiler for co-firing municipal solid waste and short timber for cultivating fungus includes a boiler chamber and fire grate, where the boiler chamber comprises a furnace, a reburning chamber and a third flue, a front arch and a rear arch are arranged on a lower portion of the furnace and located above the fire grate, and a short timber for cultivating fungus feeding device is arranged on a lower portion of a front wall of the furnace. The short timber for cultivating fungus feeding device includes a star-shaped feeding machine and a hopper, a skin expansion joint is arranged between the star-shaped feeding machine and the hopper, and an air pipe is arranged on the hopper. A layer of a plurality of boiler internal desulfurization desulfurization nozzles and two layers of a plurality of Polymer Non-Catalytic Reduction denitration nozzles are arranged in a height direction of the furnace.

Abstract: Synchronizing variables can be tuned based on a sod harvester's speed. A sod harvester's control system can include a tuning component that receives as input a current speed of the sod harvester. The tuning component can apply logic to the current speed to calculate values for synchronizing variables that are tuned for the current speed. In this way, the sod harvester can be operated with precision across a range of speeds, including at high speeds.

Abstract: A job-site gear in one aspect of the present disclosure includes a circuit board, at least one electronic component, and a resin member. A first surface of the circuit board includes a first area, a second area, and a third area. The third area is located in a boundary between the first area and the second area. A second surface of the circuit board includes a fourth area, a fifth area, and a sixth area located behind the first area, the second area, and the third area, respectively. The third area and the sixth area include at least one slit penetrating through the circuit board. The resin member is integrally molded so as to (i) penetrate through the at least one slit and (ii) cover the first area, the fourth area, and a part of the at least one electronic component on the first area.

Abstract: The present disclosure relates to the technical field of wheat planting, and in particular to a uniform monoseeding and cultivation method of winter wheat in Huang-huai-hai region. The cultivation method includes seedbed finishing and precision seeding; after seedbed finishing during winter wheat seeding creates excellent seedbed conditions, precision monoseeding of winter wheat is implemented by a seeder according to precise agronomic index requirements including plant spacing, row spacing, seeding depth, and seeding rate, concurrently achieving the objectives of consistent covering depth and deep placement of bottom fertilizer. The cultivation method can make the most of light, heat, water, and fertilizer resources, and precisely optimize the plant spacing, row spacing, and seeding depth during seeding to integrate mechanized seeding management of winter wheat in Huang-huai-hai region, achieving objectives of building excellent crop community and increasing yield and efficiency.

Abstract: A turf management system includes an irrigation system for providing water to the turf at a turf site, and an irrigation evaluation system for evaluating the performance of the irrigation system. The irrigation evaluation system segments the turf site into irrigation management units, where each of the irrigation management units includes at least one sprinkler head. Qualities of the turf are measured to generate collected data points. The data points are used by the irrigation evaluation system to compute a value for the turf in each of the irrigation management units. The values can then be used to identify irrigation management units having common characteristics. The values can be used to define irrigation management zones for controlling the irrigation system.

Abstract: A controller for a hydroponic growing apparatus, system, and method is provided. The controller includes a program-enable logic controller housed within a control housing and a graphical user interface operable by the programmable logic controller and disposed on the control housing. A home screen has one or more status indicators for each seed bed on the plurality of levels. A seeding screen has one or more seeding controls for actuating a seeder for depositing seed on each seed bed on the plurality of levels. A harvesting screen has one or more harvesting controls for autonamously controlling seed growth harvesting from each seed bed on the plurality of levels.

Abstract: Systems, apparatus, methods, and articles of manufacture for hydroponics systems are described. In one embodiment, a containment vessel is provided with a removable cover and/or a separable weir.

Abstract: A plant medium composition and methodology of application of the medium as it pertains to the micropropagation of Cannabis and related plant species is described that yields two to four-fold increase in the number of biologically functional nodes from axillary shoots thereby allowing for exponential amplification of such plant species. The compositions comprise basal plant media supplemented with: (i) one or more cytokinins, and (ii) one or more gibberellins and/or brassinolides. This achievement in exponential shoot growth of these plant species represents a marked step forward in the Cannabis industry as it pertains to commercial micropropagation of a recreationally and medicinally important plant whose extracts are the subject of numerous clinical trials.

Abstract: A hybrid onion variety NUN 07212 ONL is disclosed as well as seeds and plants and bulbs thereof. Onion variety NUN 07212 ONL is a globe shape, long day onion variety.

Abstract: A new and distinct watermelon variety NUN 11802 WMW is disclosed as well as seeds and plants and fruits thereof. NUN 11802 is a round oval, diploid watermelon variety of the mini-seeded type, comprising resistance to Fusarium oxysporum f. s.p niveum Race 0 and Race 1.

Abstract: A new and distinct hybrid watermelon variety NUN 11801 WMW is disclosed as well as seeds and plants and fruits thereof. NUN 11801 is an oval small, diploid watermelon varieties of the mini-seeded type, comprising resistance to Fusarium oxysporum f s.p niveum Race 0 and Race 1.

Abstract: A novel soybean variety, designated 5PLLV73 is provided. Also provided are the seeds of soybean variety 5PLLV73, cells from soybean variety 5PLLV73, plants of soybean 5PLLV73, and plant parts of soybean variety 5PLLV73. Methods provided include producing a soybean plant by crossing soybean variety 5PLLV73 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PLLV73, methods for producing other soybean varieties or plant parts derived from soybean variety 5PLLV73, and methods of characterizing soybean variety 5PLLV73. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PLLV73 are further provided.

Abstract: A novel soybean variety, designated 5PKDW89 is provided. Also provided are the seeds of soybean variety 5PKDW89, cells from soybean variety 5PKDW89, plants of soybean 5PKDW89, and plant parts of soybean variety 5PKDW89. Methods provided include producing a soybean plant by crossing soybean variety 5PKDW89 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PKDW89, methods for producing other soybean varieties or plant parts derived from soybean variety 5PKDW89, and methods of characterizing soybean variety 5PKDW89. Soybean seed, cells, plants, germ plasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PKDW89 are further provided.

Abstract: A novel soybean variety, designated 5PUZE53 is provided. Also provided are the seeds of soybean variety 5PUZE53, cells from soybean variety 5PUZE53, plants of soybean 5PUZE53, and plant parts of soybean variety 5PUZE53. Methods provided include producing a soybean plant by crossing soybean variety 5PUZE53 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PUZE53, methods for producing other soybean varieties or plant parts derived from soybean variety 5PUZE53, and methods of characterizing soybean variety 5PUZE53. Soybean seed, cells, plants, germ plasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PUZE53 are further provided.

Abstract: A novel soybean variety, designated 5PZQJ47 is provided. Also provided are the seeds of soybean variety 5PZQJ47, cells from soybean variety 5PZQJ47, plants of soybean 5PZQJ47, and plant parts of soybean variety 5PZQJ47. Methods provided include producing a soybean plant by crossing soybean variety 5PZQJ47 with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety 5PZQJ47, methods for producing other soybean varieties or plant parts derived from soybean variety 5PZQJ47, and methods of characterizing soybean variety 5PZQJ47. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety 5PZQJ47 are further provided.