Patent classifications
A01G7/00
Method and system for treating crop according to predicted yield
A method of managing treatment of crop is disclosed. The method comprises: monitoring at least one parameter describing growth and/or condition of a plant and calculating a plant status function based on a value of the at least one parameter. The method further comprises comparing the calculated plant status function to a plant status baseline corresponding to a predicted yield or a predicted yield change, and operating a crop treatment system responsively to the comparison.
Method and system for treating crop according to predicted yield
A method of managing treatment of crop is disclosed. The method comprises: monitoring at least one parameter describing growth and/or condition of a plant and calculating a plant status function based on a value of the at least one parameter. The method further comprises comparing the calculated plant status function to a plant status baseline corresponding to a predicted yield or a predicted yield change, and operating a crop treatment system responsively to the comparison.
METHOD FOR INDUCING PLANTS TO INCREASE THEIR FLAVONOID COMPOUND CONTENT
A method for inducing plants to increase their flavonoid compound content, includes performing an induction culture on a young shoot or an adult of a living plant, wherein flavonoid compound content of the young shoot or the adult of the living plant which has been subjected to the induction culture is higher than that of a young shoot or an adult of a living plant which is not subjected to the induction culture. Moreover, the induction culture includes a metal ion stimulation procedure comprising culturing the young shoot or the adult of the living plant in a culture environment with metal ion stimulation, wherein the culture environment with metal ion stimulation contains a metal ion used for stimulating the living plant, and the concentration of the metal ion used for stimulating the living plant is 5 M-50 mM.
Plant phenotyping techniques using mechanical manipulation, and associated systems and methods
Systems and methods for plant phenotyping using mechanical manipulation are disclosed. In one embodiment, a method for plant phenotyping includes: agitating a plant with an agitator; acquiring images of the plant with a camera while agitating the plant; and analyzing the images of the plant to determine properties of the plant. The plant may be at least partially agitated at a resonance frequency of oscillation of a stalk of the plant.
Plant phenotyping techniques using mechanical manipulation, and associated systems and methods
Systems and methods for plant phenotyping using mechanical manipulation are disclosed. In one embodiment, a method for plant phenotyping includes: agitating a plant with an agitator; acquiring images of the plant with a camera while agitating the plant; and analyzing the images of the plant to determine properties of the plant. The plant may be at least partially agitated at a resonance frequency of oscillation of a stalk of the plant.
PLANT COLLARS
Hydroponics plant collars including a body defining a thickness, a center, and a periphery,a slot extending from the periphery and generally toward the center, a terminus of the slot and a surface thereof, and two opposing slot surfaces which define smooth plant contact portions thereof and which are spaced apart from one another whereby the body distributes forces acting on the hydroponics plant collar and on a plant to be in the slot, and metallic nanospheres dispersed throughout the body.
SYSTEM AND METHOD FOR AUTOMATED PLANT GROWTH
A system and method to optimize plant growth with minimal labor. The system includes a set of sensors, a set of environment controlling equipment, and a processor programmed to acquire data from the sensors and manage operation of the environment controlling equipment based on the sensed data and operator input. The processor is programmed effectively as an artificial intelligence function that learns from sensed information and prior operator inputs to generate control equipment operating instructions that optimize plant growth. A learning network such as an A.I. enabled learning network may be deployed through the processor to gather sensed information directly and indirectly and instruct actuators of the control equipment, and to gather feedback from the operation of that equipment to observe changes in plant environment conditions through sensor information. That learned information is further developed through automated programming modifications of the deep neural network to refine actuator operations and enhance environment conditions.
SYSTEMS AND METHODS FOR IMAGE CAPTURE AND ANALYSIS OF AGRICULTURAL FIELDS
Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.
SYSTEMS AND METHODS FOR IMAGE CAPTURE AND ANALYSIS OF AGRICULTURAL FIELDS
Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.
Orchard climate control system
Embodiments of the present disclosure provide a humidity and temperature control system for use in the outdoor cultivation of fruits, as typically found in an orchard setting, with the additional aid of a sunshade. Embodiments include a climate control system with an efficient and controlled introduction of water vapor into an outdoor orchard employing a plurality of fogging type nozzles, coupled with an overarching porous solar shade enclosure.