Ag Leader Technology

Agricultural systems have stalk sensor assemblies and/or data visualization systems. The stalk sensor assemblies are configured for assessing the size and other characteristics about crops, such as corn and other grains entering an agricultural implement, such as a harvester. The stalk sensor assemblies may use an estimation of the stalk perimeter to establish stalk size and therefore further features about the crop. The visualization system utilizes data from the stalk sensor assemblies to calculate and display relevant information about the crop.

An on-the-go planting system utilizing soil organic matter data to prescribed seeding rate, hybrid/variety selection or soil treatment. The system weights at least two field attribute data types, such as soil organic matter data and normalized yield data to prescribe one or more outcomes. The system can also generate a yield potential value so as to prescribe the outcomes.

An on-the-go planting system utilizing soil organic matter data to prescribed seeding rate, hybrid/variety selection or soil treatment. The system weights at least two field attribute data types, such as soil organic matter data and normalized yield data to prescribe one or more outcomes. The system can also generate a yield potential value so as to prescribe the outcomes.

An agricultural image analysis system comprising at least one vision sensor configured to view a seed trench; a storage module in communication with the at least one vision sensor; a processor in communication with the storage module, the processor executing at least one machine learning module for analysis of images from the at least one vision sensor. The system including at least one laser configured to emit a beam at an open seed trench and at least one vision sensor configured to view the open seed trench and the beam. The system including a thermal camera mounted to a row unit.

The disclosure relates to agricultural systems. The systems have stalk sensor assemblies and/or data visualization systems. The stalk sensor assemblies are configured for assessing the size and other characteristics about crops, such as corn and other grains entering an agricultural implement, such as a harvester. The stalk sensor assemblies may use an estimation of the stalk perimeter to establish stalk size and therefore further features about the crop. The visualization system utilizes data from the stalk sensor assemblies to calculate and display relevant information about the crop.

The disclosure is directed to an on-the-go planting system utilizing soil organic matter data to prescribed seeding rate, hybrid/variety selection or soil treatment. The system weights at least two field attribute data types, such as soil organic matter data and normalized yield data to prescribe one or more outcomes. The system can also generate a yield potential value so as to prescribe the outcomes.

The disclosure relates to agricultural systems. The systems have stalk sensor assemblies and/or data visualization systems. The stalk sensor assemblies are configured for assessing the size and other characteristics about crops, such as corn and other grains entering an agricultural implement, such as a harvester. The stalk sensor assemblies may use an estimation of the stalk perimeter to establish stalk size and therefore further features about the crop. The visualization system utilizes data from the stalk sensor assemblies to calculate and display relevant information about the crop.

A planting system comprising a camera disposed at a distal end of a seed tube at or below ground level. The system may also include a processor in communication with the camera configured to processes images from the camera, and be configured to conduct image analysis to detect planting conditions including one or more of collapsed trench sidewalls, seed placement, crop residue within the trench, clods within the trench, a collapsed trench, “W” trench, trench size, seed depth, closing wheel operations, soil moisture, and seed bounce. The system may also include a command module in communication with the processor configured to automatically adjust one or more of planter row cleaners, supplemental row unit down force, supplemental closing wheel down force, closing wheel configuration, deployment of seed firmers, timing of application of liquid treatment, and seed meter ejection in response to detected planting conditions.

The present disclosure is related to agricultural devices, system, and methods, particularly for detecting and measuring plant stalks during harvest. The system may comprise a harvesting row unit, with a camera, a processing unit, and an in-cab display. The system may additionally include a stalk alignment guide, a leaf shield, an artificial light source, and/or a lens cleaning apparatus.

The disclosure relates to agricultural systems. The systems have stalk sensor assemblies and/or data visualization systems. The stalk sensor assemblies are configured for assessing the size and other characteristics about crops, such as corn and other grains entering an agricultural implement, such as a harvester. The stalk sensor assemblies may use an estimation of the stalk perimeter to establish stalk size and therefore further features about the crop. The visualization system utilizes data from the stalk sensor assemblies to calculate and display relevant information about the crop.