Patent classifications
A01C21/00
Agricultural Machine
A display section displays information related to a plurality of fields. The operating section accepts a selection operation for one of the plurality of fields displayed on the display section. If the operating section accepts a selection operation for the one field, and if the position information acquired by the positioning unit corresponds to a position within the one field, the control section controls the display section to display a start button for starting the operation of the fertilizing apparatus. If an operation to the start button is accepted by the operating section, the control section starts the operation of the fertilizing apparatus, based on the work information for the one field stored in the storage section.
Agricultural zone management system and variable rate prescription generation
An agricultural zone management system and methods where a variable rate prescription (VRP) includes a plurality of equipment zones of the agricultural field that are generated based on at least one treatment dimension of a farm implement to be used in the agricultural field, and each one of the equipment zones is further defined based on one or more of an intended direction of travel of the farm implement in the agricultural field, and an intended travel path of the farm implement in the agricultural field. In addition, a treatment plan, such as a treatment rate, can be generated based on the needs of plants, soil or the like in each equipment zone.
MACHINE LEARNING METHODS AND SYSTEMS FOR VARIETY PROFILE INDEX CROP CHARACTERIZATION
A computing system includes a processor and a non-transitory, computer-readable medium including instructions that, when executed by the processor, causes the computing system to receive a machine data set; process the machine data set using a trained machine-learned model to generate predicted variety profile index values, and transmit the variety profile index values to a client computing device. A computer-implemented method includes receiving a machine data set; processing the machine data set using a trained machine-learned model to generate predicted variety profile index values, and transmitting the variety profile index values to a client computing device. A non-transitory computer-readable medium includes instructions stored thereon that, when executed by one or more processors, cause a computer to receive a machine data set; process the machine data set using a trained machine-learned model to generate predicted variety profile index values, and transmit the variety profile index values to a client computing device.
MACHINE LEARNING METHODS AND SYSTEMS FOR VARIETY PROFILE INDEX CROP CHARACTERIZATION
A system includes one or more processors; and one or more non-transitory, computer-readable media including instructions that, when executed by the one or more processors, cause the computing system to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed. A computer-implemented method includes receiving a machine data set; processing the machine data set with a trained machine-learned model to generate predicted variety profile index values; and causing a visualization to be displayed. A non-transitory computer-readable medium includes computer-executable instructions that, when executed by one or more processors, cause a computer to: receive a machine data set; process the machine data set with a trained machine-learned model to generate predicted variety profile index values; and cause a visualization to be displayed.
AGRICULTURAL PRODUCT STORAGE COMPARTMENT ASSEMBLY HAVING A WEIGHT MONITORING SYSTEM
An agricultural product storage compartment assembly includes a first storage compartment configured to couple to a frame. The first storage compartment is configured to provide a first agricultural product to a first metering assembly. The agricultural product storage compartment assembly also includes a supplemental storage compartment configured to couple to the frame independently of the first storage compartment. In addition, the agricultural product storage compartment assembly includes a first flexible link configured to facilitate flow of the first agricultural product from the supplemental storage compartment to the first storage compartment. Furthermore, the agricultural product storage compartment assembly includes a first valve configured to selectively block flow of a second agricultural product from the supplemental storage compartment to the first storage compartment while the first valve is closed. The agricultural product storage compartment assembly also includes a weight monitoring system.
Digital nutrient models using spatially distributed values unique to an agronomic field
In an embodiment, an agricultural intelligence computing system stores a digital model of crop growth, the digital model of crop growth being configured to compute nutrient requirements in soil to produce particular yield values based, at least in part, on data unique to an agricultural field. The system receives agronomic field data for a particular agronomic field, the agronomic field data comprising one or more input parameters for each of a plurality of locations on the agronomic field, nutrient application values for each of the plurality of locations, and measured yield values for each of the plurality of locations. The system computes, for each location of the plurality of locations, a required nutrient value indicating a required amount of nutrient to produce the measured yield values. The system identifies a subset of the plurality of locations where the computed required nutrient value is greater than the nutrient application value. The system computes, for each of the subset of the plurality of locations, a residual value comprising a difference between the required nutrient value and the nutrient application value. The system generates a residual map comprising the residual values at the subset of the plurality of locations. Using the residual map and the one or more input parameters for each of the plurality of locations, the system generates and stores particular model correction data for the particular agronomic field.
Cultivation method based on optimization of plant nitrogen fertilizer disclosure amount
A cultivation method based on an optimization of a plant nitrogen fertilizer disclosure amount includes: selecting plants to be planted in this batch, recording a number of the plants planted this time, and preparing different parts of nitrogen fertilizer for individual plants, each part of the nitrogen fertilizer being 10 g; and planting the same batch of plants every Monday with an interval of one week and fertilizing the planted plants in the second week after planting. According to the cultivation method based on the optimization of the plant nitrogen fertilizer disclosure amount, by adopting a mode of more tests and less planting, consumed plant seedlings are correspondingly reduced when a worker calculates an optimal fertilizer disclosure amount, thus effectively avoiding excessive waste, making a cost of a subsequent use cheaper, bringing a help to a whole experiment, and enabling people to use the method more conveniently.
SEED PLANTING MACHINE
A seed planter for creating and planting together the combination of both seed and contents of a seed growing environment. The seed planter includes, for example, a wheeled frame configured with at least one soil opener and at least one soil closer for planting a field. A seed growing environment aggregator assembly has at least one input opening for receiving a plantable portion of a seed growth medium and seed from the seed hopper and at least one discharge opening for discharging an aggregation of the plantable portion of the seed growth medium and seed to the at least one soil opener for planting a desired growing environment in the field.
Management of corn through semi-dwarf systems
Methods for providing compositions to corn fields prior to harvesting are provided herein. These methods provide an extended time period for the use of lower height or standard height farm equipment in-season in corn fields, while reducing the risk of damage to the corn plants. These methods also allow for late season access with lower height or standard height farm equipment, while reducing the risk of damage to the corn plants.
Management of corn through semi-dwarf systems
Methods for providing compositions to corn fields prior to harvesting are provided herein. These methods provide an extended time period for the use of lower height or standard height farm equipment in-season in corn fields, while reducing the risk of damage to the corn plants. These methods also allow for late season access with lower height or standard height farm equipment, while reducing the risk of damage to the corn plants.