Methods and systems for generating a plasma-activated liquid or gas, and applying the plasma-activated liquid for agricultural use. A system embodiment includes a hand-held device that can be pointed and directed at different target areas of a plant. A method embodiment includes generating a plasma discharge in a gas environment or a liquid environment, and applying the gas/liquid to a plant.

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.

The disclosure relates 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 identifying a subset of payloads to provide one or more actions based on data representing a policy for one or more subsets of agricultural objects, causing one or more cartridges to be charged based on the subset of payloads, and, and implementing one or more cartridges at an agricultural projectile delivery system.

In one embodiment, an autonomous vehicle includes a controller and a control interface disposed in an enclosure on the side of the autonomous vehicle. The control interface includes a display communicatively coupled to the controller. The display is used to at least setup or control operation of an implement attached to the autonomous vehicle, setup or control operation of the autonomous vehicle, or both.

The present invention concerns the use of an inoculum of at least one strain of Penicillium brasilianum for improving plant growth conditions. It also concerns a method of increasing the availability of phosphorus and/or micronutrients for plant uptake from a plant growth substrate, said method comprising applying to the plant growth substrate an effective amount of an inoculum of Penicillium brasilianum.

The present invention concerns the use of an inoculum of at least one strain of Penicillium brasilianum for improving plant growth conditions. It also concerns a method of increasing the availability of phosphorus and/or micronutrients for plant uptake from a plant growth substrate, said method comprising applying to the plant growth substrate an effective amount of an inoculum of Penicillium brasilianum.

In an embodiment, computer processes are programmed to determine planting plans based on planting characteristics data received for an agricultural field and a plurality of management zone delineation options defined for the agricultural field. Each of the planting plans specifies different planting recommendations for the agricultural field. A first graphical representation of the planting plans, and an interactive object is generated and displayed on a computing device. The interactive object is configured to receive input specifying a relative importance ratio between the planting plans for determining a new planting plan for the agricultural field. A particular relative importance ratio is received via the interactive object, and is used to determine the new planting plan, which specifies new planting recommendations for the agricultural field. Information about the new planting plan is displayed on the computer device.

A method to reduce bag rupture in a spray dispensed from a nozzle involves detecting one or more bags rupturing from an initial spray pattern of the spray dispensed from the nozzle, the one or more bags comprising a thin membraned semi-spherical protrusion extending from the spray, where the initial spray pattern is a region of the spray initially exiting the nozzle that forms a continuous sheet-like portion. The spray includes an agricultural spray including water, at least one polymer, and at least one perforation-aid type adjuvant. The agricultural spray exhibits fewer fine droplets exhibiting a diameter less than about 150 μm formed via the bag rupture approach to droplet formation.

A method to reduce bag rupture in a spray dispensed from a nozzle involves detecting one or more bags rupturing from an initial spray pattern of the spray dispensed from the nozzle, the one or more bags comprising a thin membraned semi-spherical protrusion extending from the spray, where the initial spray pattern is a region of the spray initially exiting the nozzle that forms a continuous sheet-like portion. The spray includes an agricultural spray including water, at least one polymer, and at least one perforation-aid type adjuvant. The agricultural spray exhibits fewer fine droplets exhibiting a diameter less than about 150 μm formed via the bag rupture approach to droplet formation.

A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a valuation corresponding to the each of the parcels, where the agricultural metrics include a stability metric.