A computer system is provided comprising a classification model management server computer configured, by instructions, to: receive a new image from a user device; apply a first digital model to first regions within the new image for classifying each of the first regions into a particular class; apply a second digital model to second regions within the new image for classifying each of the second regions into a particular class; and transmit classification data related to the class of the first regions and the class of the second regions to the user device. In connection therewith, the second regions each generally correspond to a combination of multiple first regions.

System and methods to control resource distribution to fields are provided. A data processing system can identify a plurality of zones of the field, and can receive, from a client computing device, registration information of a node. The registration information can correlate the node with a zone of the field. The data processing system can obtain, via a gateway device and from the node, a first data file including field metric data and a second data file including third party data that pertains to the field. The data processing system can determine a resource distribution schedule based at least in part on data of the first data file and data of the second data file. The data processing system can receive, via the gateway device, a prompt from the node, and can provide an instruction to control a valve to regulate resource distribution to a portion of the field.

A yield calculation system comprises a position sensor configured to detect a position. A baler comprises a bale chamber in which crop material is to be formed into a bale, a volume measurement sensor provided in the bale chamber and configured to measure a volume of the bale in the bale chamber, the volume corresponding to the position detected by the position sensor, and a moisture measurement sensor provided in the bale chamber and configured to measure a moisture amount in the bale, the moisture amount corresponding to the position detected by the position sensor. Circuitry is configured to calculate, based on the volume of the bale and the moisture amount corresponding to the position, a yield corresponding to the position by excluding the moisture amount from an amount of the bale.

A soil monitoring system for an agricultural tillage implement includes a sensor configured to be coupled to a frame of the agricultural tillage implement. The sensor is configured to be directed toward a region of a soil surface. In addition, the sensor is configured to emit an output signal toward the region of the soil surface and to receive a return signal indicative of a profile of the soil surface within the region. Furthermore, the soil monitoring system includes a controller configured to identify a rough soil profile in response to determining that at least one variation in the profile of the soil surface within the region is greater than a first threshold value, and/or in response to determining that a number of variations in the profile of the soil surface within the region is greater than a second threshold value.

A sensor arrangement for an agricultural vehicle includes a first electro-optical sensor including a first field of view having an optical axis, and a second electro-optical sensor including a second field of view having an optical axis. The first and second sensors are spaced apart from one another and oriented such that the optical axes of the two sensors intersect at a distance from the two sensors.

An electric powered self-propelled driving machine for working a ground comprising a bearing frame adapted to remain at a given distance from a reference surface when the machine is assembled, kinematic mechanisms coupled to the bearing frame and adapted to be arranged close to said reference surface when the machine is in use, electric motorization means, coupled to the bearing frame and operatively connected to the kinematic mechanisms, adapted to be electrically operated to move the bearing frame, a power supply cable adapted to be electrically connected to the electric motorization means and to be connected to an electric power supply source, a reference rotor around which the power supply cable is wound to form an electric coil of predefined length, coupled to the bearing frame and operatively connected to first rotation means adapted to be operated to unwind/rewind the power supply cable from/onto the reference rotor at least during the advancement of the driving machine (1) to perform a working of a ground, and a distribution arm, operatively connected to the bearing frame and supporting the power supply cable so as to at least limit the interference thereof with the kinematic mechanisms during the advancement of the driving machine on the ground. In an innovative manner, the driving machine provides for the reference rotor, and the electric coil wound thereon, to be arranged in the central part of the bearing frame so that both the front part and the rear part of the bearing frame are frontally free and directly facing the external environment in order to accommodate, removably, both pieces of equipment for working the ground.

An information processing apparatus comprises a first obtaining unit configured to obtain a predicted value of a yield of crops in a section where the crops are cultivated, a second obtaining unit configured to obtain a yield of the crops harvested in the section, and a control unit configured to notify progress of harvesting of the crops in the section, which is determined based on the predicted value obtained by the first obtaining unit and the yield obtained by the second obtaining unit.

Aspects of the present disclosure are presented for a multi-purpose robot. In certain implementations, the robot of the present disclosure can initiate performance of one or more tasks. Aspect(s) of the power consumption of the robot can be monitored. Input(s) originating from sensor(s) of the robot can be received. Based on the aspect(s) of the power consumption of the robot and input(s) originating from the sensor(s), aspect(s) of the performance of the one or more tasks can be adjusted.

A crop detection system and method of using the same includes a machine vision system mounted to a mobile vehicle. The machine vision system includes an information capturing device connected to a computer having a processor and memory. The memory includes stored crop and field information. Positioning members are mounted to an extend forward of the mobile structure. The information capturing device includes a camera, a sensor, a transceiver and/or a stereo sensor configuration and is positioned to sense the presence, size, location and orientation of characteristics of a crop.

Example embodiments provide systems and methods for simulating a disease outbreak based on a limited number of input parameters. In one embodiment, a disease severity level is computed based on a relationship between leaf wetness duration and average temperature during a wetness period. The resulting model can be a physical, deterministic model that accepts hourly weather data as input and outputs the most significant severity event of disease infection during a specified period.