A system to stimulate tree sap self-ejection from a tree through a plurality of spouts by heating or chilling a portion of a tree trunk. The system can include a metal liner and at least one flexible tube wrapped around the metal liner containing a freeze resistant fluid, a shell encapsulates the flexible tube and metal liner around the tree. At least one fluid pump, heat exchanger and controller form the sap self-ejection system which can include one or more sources to heat or chill freeze resistant fluid, creating a system for more efficient sap collection and processing.

Provided is a system (1) and method for identifying one or more plants in a population of two or more plants (4). The method includes monitoring one or more parameters of a plant (4) of the population and generating one or more time signals indicative of values of the one or more parameters. The signals are processed to calculate one or both of a transpiration rate of each plant and a rate of change of a transpiration rate over each of one or more time intervals. The plants are then ranked using an algorithm involving the calculated transpiration rates, and plants having a ranking above a predetermined ranking are identified. Further provided is a system for carrying out the method of the invention.

Provided is a system (1) and method for identifying one or more plants in a population of two or more plants (4). The method includes monitoring one or more parameters of a plant (4) of the population and generating one or more time signals indicative of values of the one or more parameters. The signals are processed to calculate one or both of a transpiration rate of each plant and a rate of change of a transpiration rate over each of one or more time intervals. The plants are then ranked using an algorithm involving the calculated transpiration rates, and plants having a ranking above a predetermined ranking are identified. Further provided is a system for carrying out the method of the invention.

To provide a vascular sap measurement sensor in which a flow channel that receives incoming flow of vascular sap is unlikely to be blocked by tissues of a plant. A vascular sap measurement sensor 1 includes: a trapping probe 20 for trapping vascular sap; and a support 10 that supports the trapping probe 20. A trapping flow channel 21 that receives incoming flow of the vascular sap is formed in the trapping probe 20. The trapping flow channel 21 has an inlet opening 24 formed on a side surface of the trapping probe 20. This makes it unlikely that the trapping flow channel 21 will be blocked by tissues of a plant when sticking the trapping probe 20 into the plant.

To provide a vascular sap measurement sensor in which a flow channel that receives incoming flow of vascular sap is unlikely to be blocked by tissues of a plant. A vascular sap measurement sensor 1 includes: a trapping probe 20 for trapping vascular sap; and a support 10 that supports the trapping probe 20. A trapping flow channel 21 that receives incoming flow of the vascular sap is formed in the trapping probe 20. The trapping flow channel 21 has an inlet opening 24 formed on a side surface of the trapping probe 20. This makes it unlikely that the trapping flow channel 21 will be blocked by tissues of a plant when sticking the trapping probe 20 into the plant.

Systems, techniques, and devices for detecting plant biometrics, for example, plants in a crop field. An imaging device of an unmanned vehicle may be used to generate a plurality of images of the plants, and the plurality of images may be used to generate a 3D model of the plants. The 3D model may define locations and orientations of leaves and stems of plants. The 3D model may be used to determine at least one biometric parameter of at least one plant in the crop. Such detection of plant biometrics may facilitate the automation of crop monitoring and treatment.

Systems, techniques, and devices for detecting plant biometrics, for example, plants in a crop field. An imaging device of an unmanned vehicle may be used to generate a plurality of images of the plants, and the plurality of images may be used to generate a 3D model of the plants. The 3D model may define locations and orientations of leaves and stems of plants. The 3D model may be used to determine at least one biometric parameter of at least one plant in the crop. Such detection of plant biometrics may facilitate the automation of crop monitoring and treatment.

A sensing system identifies Huanglongbing (HLB) symptoms in leaves of citrus trees in real time and differentiates them from nutrient deficiencies.

In an embodiment, a method comprises: receiving pre-planting data representing a lower bound date value and an upper bound date value of dates for a pre-planting application of fertilizer to an agricultural field; side-dressing data representing a lower bound date value and an upper bound date value of dates for a side-dressing application; fertilizer cost data representing a cost of a fertilizer application; labor cost data representing a cost of applying fertilizer to the field; and expected profit data. Based on the received data, one or more penalty constraints are determined. Based on the received data, a fertilizing schedule is generated. The schedule comprises the one or more valid calendar dates on which fertilizing the agricultural field is recommended and the one or more valid fertilizer amounts to be applied to the agricultural field on the one or more valid calendar dates to maximize a yield from the agricultural field.

In an embodiment, yield data representing yields of crops that have been harvested from an agricultural field and field characteristics data representing characteristics of the agricultural field is received and used to determine a plurality of management zone delineation options. Each option, of the plurality of management zone delineation options, comprises zone layout data for an option. The plurality of management zone delineation options is determined by: determining a plurality of count values for a management class count; generating, for each count value, a management delineation option by clustering the yield data from and the field characteristics data, assigning zones to clusters, and including the zones in a management zone delineation option. One or more options from the plurality of management zone delineation options are selected and used to determine one or more planting plans. A graphical representation of the options and the planting plans is displayed for a user.