A soil resistivity detection system for an agricultural implement includes a row unit having row unit components. The row unit components include a residue management system configured to condition soil at a leading edge of the row unit, an opening system configured to form a furrow in the soil, a closing assembly configured to close the furrow, and a press wheel assembly configured to compact the soil. The soil resistivity detection system also includes a control assembly configured to output an electrical current to a first pair of the row unit components, receive voltages from a second pair of the row unit components, determine a voltage differential based on the voltages, and determine a soil resistivity based on the voltage differential.

An agricultural machine includes a computing system configured to store a machine-learned model and perform operations. The operations include receiving data from a transceiver-based sensor configured to emit an output signal directed toward soil within a portion of a field and receive an echo signal indicative of a backscattering of the output signal by the soil. Additionally, the operations include extracting a set of features associated with the echo signal from the received data. Moreover, the operations include inputting the set of features into the machine-learned model and receiving a preliminary soil moisture value for the set of features as an output of the machine-learned model. In addition, the operations include determining a final soil moisture value for the portion of the soil within the field based on the preliminary soil moisture value.

Agricultural machines utilize global positioning systems (GPS) to acquire the location of the machine as well as the location of an event, which may be based upon an operation of the agricultural machine. Because of the possibility of outage and/or inaccuracy of the GPS, a GPS augmentation system can be included with the agricultural machine. The GPS augmentation system can supplement the location determination of the GPS, or can be used in place of the GPS when the GPS is not available. An unmanned vehicle can also be used as part of the augmentation system to provide additional information for the location of the agricultural machine and/or the event.

Agricultural machines utilize global positioning systems (GPS) to acquire the location of the machine as well as the location of an event, which may be based upon an operation of the agricultural machine. Because of the possibility of outage and/or inaccuracy of the GPS, a GPS augmentation system can be included with the agricultural machine. The GPS augmentation system can supplement the location determination of the GPS, or can be used in place of the GPS when the GPS is not available. An unmanned vehicle can also be used as part of the augmentation system to provide additional information for the location of the agricultural machine and/or the event.

Implementations are directed to generating a stream of agricultural annotations with respect to area(s) of interest of an agricultural field, and providing the stream of agricultural annotations for presentation to the user in an augmented reality manner with respect to the area(s) of interest. In some implementations, a stream of vision data may be received at a first computing device of the user and from a second computing device of the user. Further, the first computing device may process the stream of vision data to generate the stream of agricultural annotations. Moreover, the first computing device may transmit the stream of agricultural annotations to the second computing device to cause the stream of agricultural annotations to be provided for presentation to the user. In other implementations, the first computing device may be omitted, and the second computing device may be utilized to generate the stream of agricultural annotations.

Implementations are directed to generating a stream of agricultural annotations with respect to area(s) of interest of an agricultural field, and providing the stream of agricultural annotations for presentation to the user in an augmented reality manner with respect to the area(s) of interest. In some implementations, a stream of vision data may be received at a first computing device of the user and from a second computing device of the user. Further, the first computing device may process the stream of vision data to generate the stream of agricultural annotations. Moreover, the first computing device may transmit the stream of agricultural annotations to the second computing device to cause the stream of agricultural annotations to be provided for presentation to the user. In other implementations, the first computing device may be omitted, and the second computing device may be utilized to generate the stream of agricultural annotations.

The invention relates to an agricultural seeding machine, in particular to a straw crushing and inter-furrow collecting-mulching no-tillage seeder. A straw-crushing device, a guide device, a fertilizer discharging device, and a furrowing and seeding device are sequentially arranged on a rack from front to back. According to the guide device, a plurality of straw-crushing guide assemblies having installation positions capable of being horizontally adjusted are arranged on an adjustment crossbeam, are in a prow shape, and each consist of a rear vertical back plate formed with a fertilization port, and two front symmetrical oblique guide plates. Straw is orderly spread on straw mulching belts between seeding belts while being crushed within the working range, and thus, the seeding belts are free of straw obstacles. The straw crushing and inter-furrow collecting-mulching no-tillage seeder is high in working integrity, easy to assemble, and low in energy consumption.

The invention relates to an agricultural seeding machine, in particular to a straw crushing and inter-furrow collecting-mulching no-tillage seeder. A straw-crushing device, a guide device, a fertilizer discharging device, and a furrowing and seeding device are sequentially arranged on a rack from front to back. According to the guide device, a plurality of straw-crushing guide assemblies having installation positions capable of being horizontally adjusted are arranged on an adjustment crossbeam, are in a prow shape, and each consist of a rear vertical back plate formed with a fertilization port, and two front symmetrical oblique guide plates. Straw is orderly spread on straw mulching belts between seeding belts while being crushed within the working range, and thus, the seeding belts are free of straw obstacles. The straw crushing and inter-furrow collecting-mulching no-tillage seeder is high in working integrity, easy to assemble, and low in energy consumption.

A farming activity decision-making system based on environmental impact assessment and a method for providing the same are disclosed. The farming activity decision-making system based on environmental impact assessment and the method for providing the same can provide farming guides for farming activities for meteorological environments and pest control, in which environmental assessment/cost assessment have been reflected, provide rewards for farming activities reflecting provided farming guides, and utilize provided farming guides as eco-friendly certification data for crops.

A farming activity decision-making system based on environmental impact assessment and a method for providing the same are disclosed. The farming activity decision-making system based on environmental impact assessment and the method for providing the same can provide farming guides for farming activities for meteorological environments and pest control, in which environmental assessment/cost assessment have been reflected, provide rewards for farming activities reflecting provided farming guides, and utilize provided farming guides as eco-friendly certification data for crops.