Disclosed here are systems, methods, apparatus, and/or non-transitory computer-readable storage comprising machine-readable code for the development and application of high-resolution crop yield models. The disclosed yield models may be captured yield data and corresponding remote sensing data covering relatively limited areas. Embodiments of the disclosed yield models may be capable of estimating spatial yield characteristics in areas for which accurate yield data are not available (and/or not practical to acquire), thereby enabling more widespread application of integrated land management techniques.

In one aspect, a system for monitoring soil conditions within an agricultural field may include a furrow forming tool. The system may also include an acoustic sensor configured to detect a sound associated with movement of the furrow forming tool through the soil. Furthermore, the system may include a controller communicatively coupled to the acoustic sensor. The controller may be configured to monitor a soil condition associated with soil within the field based on acoustic data received from the acoustic sensor.

A system and a method for a grass maintenance comprising an autonomous vehicle (100) arranged to operate autonomously to manipulate a grass surface, wherein the vehicle (100) includes one or more environmental sensors (208) arranged to detect environmental conditions associated with the grass surface; and one or more grass manipulation modules (210) arranged to manipulate the grass surface.

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.

An information map is obtained by an agricultural system. The information map maps values of a characteristic at different geographic locations in a worksite. An in-situ sensor detects nutrient values as a mobile material application machine operates at the worksite. A predictive map generator generates a predictive map that maps predictive nutrient values at different geographic locations in the worksite based on a relationship between values of the characteristic in the information map and nutrient values detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

A user terminal serving as a farming field information management device includes an imaging unit configured to capture an image, a display unit configured to display a captured image, a map information acquisition unit configured to acquire map information generated on the basis of crop-related information related to a crop in a farming field and position information indicating a growth location of the crop, a display control unit configured to allow the display unit to display the acquired map information superimposed in accordance with the imaging direction of the imaging unit on the captured image, and a data correction unit configured to correct the map information on the basis of the map information and the captured image displayed on the display unit.

Embodiments of the present disclosure relate to systems and implements for sensing, analyzing, and displaying different soil parameters. A soil sensing system includes a mechanical component of an agricultural implement and at least one sensor disposed on the mechanical component. The sensor generates an electromagnetic field through a region of soil as the agricultural implement traverses a field. The sensor comprises at least one radar transmitter and at least one radar receiver and the sensor measures different soil parameters including a soil dielectric constant.

A system for plant parameter detection, including: a plant morphology sensor having a first field of view and configured to record a morphology measurement of a plant portion and an ambient environment adjacent the plant, a plant physiology sensor having a second field of view and configured to record a plant physiology parameter measurement of a plant portion and an ambient environment adjacent the plant, wherein the second field of view overlaps with the first field of view; a support statically coupling the plant morphology sensor to the physiology sensor, and a computing system configured to: identify a plant set of pixels within the physiology measurement based on the morphology measurement; determine physiology values for each pixel of the plant set of pixels; and extract a growth parameter based on the physiology values.

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.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.