Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

Abstract: Devices, systems and methods are described herein that enable and make assessments related to pregnancy, including assessments related to a labor-related status such as the onset of true labor. In some embodiments, a pregnancy monitoring system comprises a portable, noninvasive data acquisition device adhered to a patient's skin, comprising at least two electrodes to measure uterine electrical activity, signal processing means, data storage means, and a battery. Systems for notification of the labor-related status are described.

Abstract: Methods and devices to affect types, proportion, quantity, distribution, or proliferation of microorganisms within a female reproductive system.

Abstract: Methods and devices to affect types, proportion, quantity, distribution, or proliferation of microorganisms within a female reproductive system.

Abstract: A method for calibrating performance characteristics of a farming machine using a performance report is described. The farming machine accesses images of plants in a field captured during the calibration pass. The images are input into a performance model to generate a performance report by identifying plants in the images using a plurality of identification sensitivities and determining expected performance characteristics of the farming machine for each of the identification sensitivities. As such, the performance report includes expected performance characteristics for each identification sensitives. The farming machine accesses a target performance characteristic (e.g., from an operator) for the farming machine corresponding identification sensitivity. Images are input into a plant identification model during a treatment pass which identify a plant in the field using the identification sensitivity corresponding to the target performance characteristic.

Abstract: A method for calibrating characteristics of a farming machine as it travels through a field treating plants is presented. Images captured by the farming machine are input into a performance model which identifies plants in the images using an original identification sensitivity and determines expected performance characteristics of the farming machine. The performance model accesses a target performance characteristic for the farming machine and determines a modified identification sensitivity for the performance model that achieves the target performance characteristic. The farming machine inputs additional images captured by the farming machine into the performance model. The performance model identifies a plant using the modified identification sensitivity, and the farming machine treats the plant in the field.

Abstract: Methods and devices to affect types, proportion, quantity, distribution, or proliferation of microorganisms within a female reproductive system.

Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

Abstract: Methods and devices to affect types, proportion, quantity, distribution, or proliferation of microorganisms within a female reproductive system.

Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

Abstract: Devices, systems and methods are described herein that enable and make assessments related to pregnancy, including assessments related to a labor-related status such as the onset of true labor. In some embodiments, a pregnancy monitoring system comprises a portable, noninvasive data acquisition device adhered to a patient's skin, comprising at least two electrodes to measure uterine electrical activity, signal processing means, data storage means, and a battery. Systems for notification of the labor-related status are described.

Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

Abstract: Methods and devices to affect types, proportion, quantity, distribution, or proliferation of microorganisms within a female reproductive system.

Abstract: Methods and devices to affect types, proportion, quantity, distribution, or proliferation of microorganisms within a female reproductive system.

Abstract: Devices, systems and methods are described herein that enable and make assessments related to pregnancy, including assessments related to a labor-related status such as the onset of true labor. In some embodiments, a pregnancy monitoring system comprises a portable, noninvasive data acquisition device adhered to a patient's skin, comprising at least two electrodes to measure uterine electrical activity, signal processing means, data storage means, and a battery. Systems for notification of the labor-related status are described.

Abstract: Devices and methods described herein may, among other uses, favorably cause the activation and/or deactivation of vascular baroreceptors in order to achieve a desired impact on a physiological condition, such as baroreflex-regulated conditions, hypertension, hypotension, nervous system disorders, metabolic disorders, cardiovascular disease, heart failure, cardiac arrhythmia, renal disease, respiratory disease, diabetes, and insulin resistance. The devices and methods may be used in concert with each other and/or other treatments, medications, interventions, or behavioral regimens. They may also be used in concert with devices and methods that perform or assist with assessing or measuring a mammal's blood pressure, assessing, measuring, or predicting the impact of the described methods and devices on the patient's condition (including blood pressure), and/or protecting the surrounding anatomy from adverse effects.

Abstract: Devices and methods described herein may, among other uses, favorably cause the activation and/or deactivation of vascular baroreceptors in order to achieve a desired impact on a physiological condition, such as baroreflex-regulated conditions, hypertension, hypotension, nervous system disorders, metabolic disorders, cardiovascular disease, heart failure, cardiac arrhythmia, renal disease, respiratory disease, diabetes, and insulin resistance. The devices and methods may be used in concert with each other and/or other treatments, medications, interventions, or behavioral regimens. They may also be used in concert with devices and methods that perform or assist with assessing or measuring a mammal's blood pressure assessing, measuring, or predicting the impact of the described methods and devices on the patient's condition (including blood pressure), and/or protecting the surrounding anatomy from adverse effects.

Abstract: Methods and devices to affect types, proportion, quantity, distribution, or proliferation of microorganisms within a female reproductive system.