Described herein are methods and systems for generating shared collaborative maps for planting or harvesting operations. A method of generating a collaborative shared map between machines includes generating a first map for a first machine based on a first set of data and generating a second map for a second machine based on a second set of data. The method further includes generating at least one shared collaborative map for at least one of the first and second machines based on the first and second maps.

This invention relates to compositions and methods for modifying nucleic acids encoding histone demethylase polypeptides that regulate floret fertility, seed number, and/or seed weight in plants.

A purging system for a multiple variety seed meter of a multi-variety planter. The purging system includes seed return valves that may be arranged for receiving seed that was removed from the seed meter. The seed return valves return the removed seed into corresponding appropriate seed storage compartments to allow a new seed variety to be delivered to the seed meter while reducing seed variety mixing in the seed meter. A pipe with a purge passage may extend from the seed meter to a purging hose that delivers the removed seed to the seed return valve(s). Each seed return valve may be a vacuum-actuated piston airlock valve assembly with a valve plunger that reciprocates to define seed collecting and releasing states of the valve.

Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

In an embodiment, a computer-implemented method for predicting subfield soil properties for an agricultural field comprises: receiving satellite remote sensing data that includes a plurality of images capturing imagery of an agricultural field in a plurality of optical domains; receiving a plurality of environmental characteristics for the agricultural field; generating a plurality of preprocessed images based on the plurality of satellite remote sensing data and the plurality of environmental characteristics; identifying, based on the plurality preprocessed images, a plurality of features of the agricultural field; generating a subfield soil property prediction for the agricultural field by executing one or more machine learning models on the plurality of features; transmitting the subfield soil property prediction to an agricultural computer system.

Techniques for providing improvements in agricultural science by optimizing irrigation treatment placements for testing are provided, including analyzing a plurality of digital images of a field to determine vegetation density changes in a sector of the field. The techniques proceed by comparing a distribution of pixel characteristics in the digital images for each field sector to determine sectors in which minimal density deviations are present. Instructions for irrigation placements and testing may be displayed or modified based on the results of the sector determinations.

A particulate material metering system includes a controller configured to determine a radius of curvature of a path of a lead vehicle coupled to an agricultural implement. The controller is configured to determine a lead time of the lead vehicle relative to the agricultural implement based on a speed of the lead vehicle and/or the agricultural implement. The controller is configured to determine a radius of curvature of a path of the agricultural implement based on the radius of curvature of the path of the lead vehicle at a determination time, in which the determination time is a current time minus an offset time, and the offset time is based on the lead time. The controller is configured to determine target particulate material flow rates of respective metering devices of the particulate material metering system based on the radius of curvature of the path of the agricultural implement.

A particulate material metering system includes a controller configured to determine a radius of curvature of a path of a lead vehicle coupled to an agricultural implement. The controller is configured to determine a lead time of the lead vehicle relative to the agricultural implement based on a speed of the lead vehicle and/or the agricultural implement. The controller is configured to determine a radius of curvature of a path of the agricultural implement based on the radius of curvature of the path of the lead vehicle at a determination time, in which the determination time is a current time minus an offset time, and the offset time is based on the lead time. The controller is configured to determine target particulate material flow rates of respective metering devices of the particulate material metering system based on the radius of curvature of the path of the agricultural implement.

A fertilizer stick comprising a saccharide and a fertilizer dispersed therein, wherein the saccharide constitutes about 25% to about 95% (w/w) of the stick.

A fertilizer stick comprising a saccharide and a fertilizer dispersed therein, wherein the saccharide constitutes about 25% to about 95% (w/w) of the stick.