A system for dispensing agricultural products includes: a master controller, sets of agricultural product containers, meter devices, and secondary controllers. The meter devices are operatively connected to the product containers and configured to dispense products from the containers to rows in a field wherein each of the sets of containers is associated with a respective row in the field. The secondary controllers actuate the meter devices. Each secondary controller receives command data from the master controller and controls the meter devices for dispensing in response to the command data. Agricultural product from each product container is dispensed in accordance with operator defined instructions to the master controller. The instructions are capable of being provided to the master controller during the planting allowing the dispensing of individual containers to be controlled. In one embodiment the invention is a process for dispensing agricultural products at low application rates utilizing precision placement equipment.

Systems and methods are provided for managing hybrid seeds for planting. One example computer-implemented method includes receiving a first dataset of hybrid seeds for planting on a target field, where the first dataset includes probability of success values and historical agricultural data for the hybrid seeds, and selecting a subset of hybrid seeds of the first dataset based on the probability of success values. The method also includes generating representative yield values for the subset of hybrid seeds based on the historical agricultural data, generating risk values for the subset of hybrid seeds based on the historical agricultural data, and generating a second dataset of hybrid seeds for planting based on the risk values, the representative yield values, and properties for the target field. The method further includes causing displaying the representative yield values and the risk values related to the second dataset of hybrid seeds for planting.

Systems and methods for monitoring plants'conditions in one or more plant growing areas are presented. The system comprises a data collection system for providing characterization data about various parameters of plants in the one or more plant growing areas, the data collection system comprising data collection modules of at least first and second different types comprising respectively one or more first type imaging devices of predetermined first field of view and first resolution and one or more second type imaging devices of predetermined second field of view narrower than the first field of view and second resolution higher than the first resolution, the characterization data provided by the first type imaging device(s) comprising first type image data indicative of one or more plants in the plant growing area and of location of at least one device of the second type imaging devices with respect to said one or more plants in the plant growing area, the characterization data provided by the second type imaging device(s) comprising second type image data indicative of one or more portions of plants in the plant growing area; and a control system for activating at least one first type imaging device and at least one second type imaging device at least partially simultaneously, and to be responsive to operational data being based on analysis of the first type image data and comprising navigation data to navigate the at least one second type imaging device or at least one device of the first type imaging devices in the plant growing area.

An automated farming system includes a frame. The frame includes a fixed base, a beam, and a support. A farming implement support extends from the beam and moves up and down in relation to the beam. The farming implement support moves along a length of the beam. The movable support includes a propulsion system and is configured to rotate around the fixed base. Movement of the farming implement support and the movable support allows for high density planting of crops in hexagonal patterns and/or a continuous spiral pattern.

An automated farming system includes a frame. The frame includes a fixed base, a beam, and a support. A farming implement support extends from the beam and moves up and down in relation to the beam. The farming implement support moves along a length of the beam. The movable support includes a propulsion system and is configured to rotate around the fixed base. Movement of the farming implement support and the movable support allows for high density planting of crops in hexagonal patterns and/or a continuous spiral pattern.

Disclosed are a special fertilizer for intercropping maize and peanuts and a cultivation method for maintaining soil organic carbon (SOC) balance, belonging to the technical field of SOC balance. The special fertilizer for intercropping maize and peanuts includes the following raw materials: coated urea, heavy superphosphate, ammonium sulfate, fermented soybean meal, bentonite, sodium molybdate, borax, humic acid, ammonium dihydrogen phosphate, plant ash and zinc sulfate heptahydrate. The cultivation method includes the steps of land selection, land preparation, fertilizing, sowing, field management, and rotation.

Disclosed herein are an apparatus and method for providing a wide-area precision agriculture service based on collaboration between heterogeneous drones. The method for providing a wide-area precision agriculture service based on collaboration between heterogeneous drones includes transferring first mission information including photography of an entirety of arable land to a fixed-wing drone, receiving first drone data corresponding to the first mission information from the fixed-wing drone, and analyzing the entire agricultural arable land based on the first drone data, and transferring detailed mission information generated based on a result of analysis of the entire agricultural arable land to at least one rotary-wing drone.

An agricultural product delivery applicator for delivering particulate product to a field. The applicator includes a supply compartment to hold the product, a pneumatic conveying system, a metering system, and a controller. The pneumatic conveying system includes first delivery line operably connected to an airflow source and to the supply compartment, and a second delivery line operably connected to the airflow source and to the supply compartment. The metering system includes a first metering device associated with the first delivery line and a second metering device associate with the second delivery line. The controller controls the air flow source, the first metering device to meter product to result in a first mixed flow of airflow and product for the first delivery line, and the second metering device to meter product with the airflow to result in a second mixed flow of airflow and product for the second delivery line.

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

A metering system for an air cart includes a metering subassembly having a first meter module configured to meter particulate material from a storage tank of the air cart to a first section of an agricultural implement and a second meter module configured to meter the particulate material from the storage tank of the air cart to a second section of the agricultural implement. The metering system includes a controller having a processor configured to receive a prescription rate map indicative of prescribed product application rates for respective geographic regions of a field, to receive a speed of the agricultural implement, and to independently adjust the first meter module and the second meter module based at least in part on the prescription rate map and the speed to facilitate application of the particulate material at the prescribed product application rates in the respective geographic regions.