A method of real-time plant selection and removal from a plant field including capturing a first image of a first section of the plant field, segmenting the first image into regions indicative of individual plants within the first section, selecting the optimal plants for retention from the first image based on the first image and the previously thinned plant field sections, sending instructions to the plant removal mechanism for removal of the plants corresponding to the unselected regions of the first image from the second section before the machine passes the unselected regions, and repeating the aforementioned steps for a second section of the plant field adjacent the first section in the direction of machine travel.

A harvester includes a chassis having a head and an outlet from the head to the chassis. A conveying system moves harvested crop from the gathering assembly to the outlet, the conveying system. The conveying system includes an auger having a rotational axis extending along a longitudinal direction and including a center shaft and a helical blade. An auger pan extends parallel to the rotational axis of the auger. The pan includes a first edge, a planar portion extending beneath the auger, and a trough portion defining a lower section with a generally upward extending surface. An air nozzle extends along the first edge of the pan, the nozzle sloping upward from a first nozzle edge lower than the first edge of the pan to a second nozzle edge higher than the first edge of the pan.

A harvester includes a chassis having a head and an outlet from the head to the chassis. A conveying system moves harvested crop from the gathering assembly to the outlet, the conveying system. The conveying system includes an auger having a rotational axis extending along a longitudinal direction and including a center shaft and a helical blade. An auger pan extends parallel to the rotational axis of the auger. The pan includes a first edge, a planar portion extending beneath the auger, and a trough portion defining a lower section with a generally upward extending surface. An air nozzle extends along the first edge of the pan, the nozzle sloping upward from a first nozzle edge lower than the first edge of the pan to a second nozzle edge higher than the first edge of the pan.

Subfield moisture model improvement in generating overland flow modeling using shallow water calculations and kinematic wave calculations is disclosed. In an embodiment, a computer-implemented data processing method comprises: receiving precipitation data and infiltration data for an agricultural field; obtaining surface water depth data, surface water velocity data, and surface water discharge data for the same agricultural field; determining subfield geometry data for the agricultural field; executing a plurality of water calculations and wave calculations using the subfield geometry data to generate an overland flow model that includes moisture levels for the agricultural field; based on, at least in part, the overland flow model, generating and causing displaying a visual graphical image of the agricultural field comprising a plurality of color pixels having color values corresponding to the moisture levels determined for the agricultural field. Output of the overland flow model is provided to control computers of seeders, planters, fertilizer spreaders, harvesters, or combines to control seeding, planting, fertilizing or irrigation activities in the field.

Subfield moisture model improvement in generating overland flow modeling using shallow water calculations and kinematic wave calculations is disclosed. In an embodiment, a computer-implemented data processing method comprises: receiving precipitation data and infiltration data for an agricultural field; obtaining surface water depth data, surface water velocity data, and surface water discharge data for the same agricultural field; determining subfield geometry data for the agricultural field; executing a plurality of water calculations and wave calculations using the subfield geometry data to generate an overland flow model that includes moisture levels for the agricultural field; based on, at least in part, the overland flow model, generating and causing displaying a visual graphical image of the agricultural field comprising a plurality of color pixels having color values corresponding to the moisture levels determined for the agricultural field. Output of the overland flow model is provided to control computers of seeders, planters, fertilizer spreaders, harvesters, or combines to control seeding, planting, fertilizing or irrigation activities in the field.

Systems, methods, and apparatuses for emitting light from a header reel are disclosed. More particularly, systems, methods, and apparatuses for emitting light at one or more locations along a bat tube of a header reel are disclosed. In some instances, a light source may be provided on the bat tube between adjacent reel fingers coupled to the bat tube. In some instances, the light source may be provided at an aperture formed in the bat tube. The emitted light provides for illumination and operator visualization during, for example, agricultural operations performed at night or during low ambient light conditions.

Systems, methods, and apparatuses for emitting light from a header reel are disclosed. More particularly, systems, methods, and apparatuses for emitting light at one or more locations along a bat tube of a header reel are disclosed. In some instances, a light source may be provided on the bat tube between adjacent reel fingers coupled to the bat tube. In some instances, the light source may be provided at an aperture formed in the bat tube. The emitted light provides for illumination and operator visualization during, for example, agricultural operations performed at night or during low ambient light conditions.

A system, for cutting a plurality of lawns, including: A) two or more robotic lawn mowers which each has a rechargeable energy storage, and B) a carrier, which includes: a) at least two holders, each of which is capable of retaining one of the two or more robotic lawn mowers and b) a charging system for the rechargeable energy storage. Also provided is the carrier as such and a method in which the system and the carrier can be used. The mowers are typically battery powered.

A system for sensing harvested crop levels within a crop tank of an agricultural harvester includes a tank cover section movable between an open position and a covered position relative to an opening of the crop tank. The system includes a sensor array including crop level sensors configured to capture data indicative of a crop level of harvested crop. The sensor array is supported, at least in part, relative to the crop tank such that the sensor array is configured to have a first orientation when the tank cover section is in the covered position and a second orientation when the tank cover section is in the open position. The sensor array defines a first vertical dimension when the sensor array is disposed in the first orientation that is less than a second vertical dimension defined by the sensor array when the sensor array is disposed in the second orientation.

Techniques are described herein for using artificial intelligence to predict crop yields based on observational crop data. A method includes: obtaining a first digital image of at least one plant; segmenting the first digital image of the at least one plant to identify at least one seedpod in the first digital image; for each of the at least one seedpod in the first digital image: determining a color of the seedpod; determining a number of seeds in the seedpod; inferring, using one or more machine learning models, a moisture content of the seedpod based on the color of the seedpod; and estimating, based on the moisture content of the seedpod and the number of seeds in the seedpod, a weight of the seedpod; and predicting a crop yield based on the moisture content and the weight of each of the at least one seedpod.