A system for monitoring field conditions during the performance of an agricultural operation by an agricultural machine may generally include a support arm configured to be coupled to and extend from an agricultural machine such that, when the agricultural machine makes a pass across a field along a given swath, a portion of the support arm extends across or is positioned over at least a portion of an adjacent swath within the field. The system may also include a sensor provided in association with the support arm, with the sensor being configured to detect a parameter indicative of a field condition associated with the adjacent swath. In addition, the system may include a controller communicatively coupled to the sensor, with the controller being configured to monitor the field condition based on sensor data received from the sensor.

Systems, methods, apparatus and computer program code are provided deliver fertilizer to targeted areas. In some embodiments, a system includes a memory configured to store data associated with an area to be fertilized, the data including information identifying a crop and soil analysis data associated with the area and a processor configured to receive sensor data associated with the area, the sensor data including information identifying a current weather condition and a current soil condition, automatically generate a proposed recipe of a fertilizer mixture, the recipe including information identifying a combination of elements and a dosage of each element, determining whether the proposed recipe satisfies at least a first rule; and operating a delivery system to deliver the fertilizer mixture to the area.

A method includes: at an autonomous vehicle and during a first operating period, capturing a first set of images of a plant; calculating a location of the plant based on the first set of images; extracting an initial value of a plant metric of the plant based on the first set of images; predicting a predicted value of the plant metric of the plant at a time based on the initial value of the plant metric of the plant and a set of global condition data. The method also includes, at the autonomous vehicle and during a second operating period concurrent with the time: capturing a second set of images of the plant; identifying the plant based on the second set of images and the location of the plant; and executing an agricultural operation on the plant based on the predicted value of the plant metric.

An intelligent cultivation apparatus includes a sensor, configured to measure plants cultivation environment parameter data; a controller, configured to generate plants cultivation status information based at least on the measured plants cultivation environment parameter data; and a cultivation suggestion generator, configured to generate a targeted cultivation suggestion based at least on a plants cultivation database and the plants cultivation status information. The intelligent cultivation apparatus further includes a camera configured for capturing images of the plants, wherein the cultivation suggestion generator generates the targeted cultivation suggestion based on the images of the plants, the plants cultivation database and the plants cultivation status information. The cultivation suggestion generator further configured to combine the targeted cultivation suggestion with the plants cultivation status information, for adjusting calculating parameters of the cultivation suggestion generator and updating the plants cultivation database.

Described herein are implements and applicators having sensors to determine plant characteristics of agricultural plants of agricultural fields. In one embodiment, an implement includes a frame to be positioned in operation between first and second rows of plants, a plant contacting member being pivotally coupled to the frame in operation such that the plant contacting member to be deflected rearwardly with respect to a direction of motion of the frame upon the plant contacting member contacting a plant of the first row of plants. The implement includes a sensor for sensing deflection of the plant contacting member by the plant to determine plant characteristics of the plant. The implement can also apply material to plants.

A system to receive data representing agronomic responses based on randomized replicated treatments conducted in test plots of agronomic environments, aggregate the data representing the agronomic responses into subsets of the data representing the agronomic responses, each subset of the data representing the agronomic responses associated with one of a number of performance zones, receive characteristics associated with a portion of a field and determine that the portion of the field represents a particular performance zone of the number of performance zones based on the characteristics associated with the portion of the field, recommend a particularized treatment level for a crop located in the portion of the field based on the particular performance zone, and communicate the particularized treatment level to a machine, the particularized treatment level to be applied to the portion of the field by the machine to optimize an agronomic response based on the particular performance zone.

A computer-implemented method of controlling a mobile agricultural machine includes receiving field map data representing a first agricultural operation performed on a field, receiving a location sensor signal indicative of a sensed geographic location of the mobile agricultural machine on the field, the mobile agricultural machine having a plurality of sections that are independently controllable to perform a second agricultural operation on the field that is different than the first agricultural operation, and generating a control signal to control the plurality of sections based on the field map data and the location sensor signal.

Systems and methods are provided for enhancing identification of crop conditions and execution of remedial actions in near real-time. An agricultural vehicle may include a crop analysis system having a computing device and an imaging array for capturing a set of images of a crop. The computing device analyzes images acquired by the imaging array to determine whether a crop experiences a particular condition. The computing device, when a condition is identified, can signal an agriculture machine to perform a remedial action.

A method of determining a lawn treatment plan and delivering lawn treatments includes receiving at a user interface an address having a lawn. The method further includes determining an initial lawn size for the lawn based on the address. The method further includes receiving confirmation of the initial lawn size. The method further includes calculating a lawn treatment plan based on the initial lawn size. The method further includes providing the lawn treatment plan to a customer. The method further includes providing instruction for providing the lawn treatment plan to a fulfillment center. The method further includes delivering packetized lawn treatments according to the lawn treatment plan on a periodic basis to the customer for treatment of the lawn.

A vegetative health mapping system which creates two- or three-dimensional maps and associates moisture content, soil density, ambient light, surface temperature, and/or additional indications of vegetative health with the map. Moisture content is inferred using radar return signals of near-field and/or far-field radar. By tuning various parameters of the one or more radar (e.g. frequency, focus, power), additional data may be associated with the map from subterranean features (such as rocks, soil density, sprinklers, etc.). Additional sensors (camera(s), lidar, IMU, GPS, etc.) may be fused with radar returns to generate maps having associated moisture content, surface temperature, ambient light levels, additional indications of vegetative health (as may be determined by machine learned algorithms), etc. Such vegetative health maps may be provided to a user who, in turn, may indicate additional areas for the vegetative health device to scan or otherwise used to recommend and/or perform treatments.