A system and method for collecting information related to harvesting, or processing, of cannabis plants. A mobile device scans a tag associated with a plant and determines a unique code from the scan. A scale weighs the plant and transmits the weight to the mobile device. The mobile device stores the weight in association with the unique code in a database. The system automatically advances to a next plant for processing without user intervention.

A contaminated drill cuttings weighing and distributing apparatus includes a frame dimensioned to accept a cuttings skip. One or more vibration members are removably attached to the frame, the vibration members able to exert vibrations sufficient to substantially level contaminated drill cuttings in the contaminated cuttings skip. Load cells are placed in or on the frame and configured to send signals representative of local load on the frame to logic controllers that receive the signals from the load cells and send signals to the vibration members to vibrate the frame. Systems include lifting slings or chains and an enclosed skip. Methods of weighing and distributing contaminated drill cuttings in an enclosed cuttings skip.

A contaminated drill cuttings weighing and distributing apparatus includes a frame dimensioned to accept a cuttings skip. One or more vibration members are removably attached to the frame, the vibration members able to exert vibrations sufficient to substantially level contaminated drill cuttings in the contaminated cuttings skip. Load cells are placed in or on the frame and configured to send signals representative of local load on the frame to logic controllers that receive the signals from the load cells and send signals to the vibration members to vibrate the frame. Systems include lifting slings or chains and an enclosed skip. Methods of weighing and distributing contaminated drill cuttings in an enclosed cuttings skip.

Time-of-flight measurements calculate the absolute caliper of a moving film independent of the film's index of refraction. A reflective fiber coupled terahertz gauge is mounted co-axially with a temperature stabilized Z-sensor positioned within a scanner head. The terahertz gauge monitors four reflections: (1) the reflection from a sensor window, (2, 3) the reflections from the top and bottom surfaces of the sheet product being measured, and (4) the reflection from a reflector that is placed behind the sheet. The Z-sensor monitors the distance between the reflector and the sensor window. The terahertz reflection delays together with the Z distance measurements allow extraction of the caliper. Since the time delay due to the sheet is a function of thickness and index of refraction, the basis weight of the sheet can be determined by using a calibration of the sensor relating basis weight of the product to time delay.

A smart cannabis apparatus including a smart cannabis apparatus including, a main body attached to a base. The apparatus further includes a controller for handling input and output data, data processing and data computing. The apparatus further includes a container having an opening, the container is housed in the main body and stores one or more types of cannabis strains. A container splitter to partition said container to at least two separate chambers. The apparatus further includes a lid to open or close the container opening. The apparatus further includes a humidity control element for ensuring pre-determined relative humidity (RH) level for an optimal humidity conditions for the cannabis strains in the two or more chambers. The apparatus further includes a communication unit to wirelessly communicate with one or more remote communication devices. The one or more remote communication devices comprising at least one dedicated application for receiving data from the apparatus and viewing real time information about the environmental climate conditions in said at least two chambers and about the user cannabis strains consumption, preferences and personal user effects.

A measurement apparatus includes a first sensor, scanner head, and computing device coupled to the first sensor that stores relative signal level ranges at selected spectral marker region(s) compared to a common region each corresponding to a composite sheet material grade and an associated sensor calibration. The computing device measures a first signal in the spectral marker region and a second signal in the common region of a composite sheet including a sheet material and a high-z material, determining a current relative signal level comparing a current signal level of the first and second signal, and identifying a current composite sheet material grade for the composite sheet from the composite material grades using the current relative signal level. Based on the current composite material grade a current sensor calibration is chosen from the sensor calibrations, and 1 physical parameter for the composite sheet is determined from the current sensor calibration.

A measurement apparatus includes a first sensor, scanner head, and computing device coupled to the first sensor that stores relative signal level ranges at selected spectral marker region(s) compared to a common region each corresponding to a composite sheet material grade and an associated sensor calibration. The computing device measures a first signal in the spectral marker region and a second signal in the common region of a composite sheet including a sheet material and a high-z material, determining a current relative signal level comparing a current signal level of the first and second signal, and identifying a current composite sheet material grade for the composite sheet from the composite material grades using the current relative signal level. Based on the current composite material grade a current sensor calibration is chosen from the sensor calibrations, and 1 physical parameter for the composite sheet is determined from the current sensor calibration.

A measurement apparatus includes a first sensor, scanner head, and computing device coupled to the first sensor that stores relative signal level ranges at selected spectral marker region(s) compared to a common region each corresponding to a composite sheet material grade and an associated sensor calibration. The computing device measures a first signal in the spectral marker region and a second signal in the common region of a composite sheet including a sheet material and a high-z material, determining a current relative signal level comparing a current signal level of the first and second signal, and identifying a current composite sheet material grade for the composite sheet from the composite material grades using the current relative signal level. Based on the current composite material grade a current sensor calibration is chosen from the sensor calibrations, and 1 physical parameter for the composite sheet is determined from the current sensor calibration.

A measurement apparatus includes a first sensor, scanner head, and computing device coupled to the first sensor that stores relative signal level ranges at selected spectral marker region(s) compared to a common region each corresponding to a composite sheet material grade and an associated sensor calibration. The computing device measures a first signal in the spectral marker region and a second signal in the common region of a composite sheet including a sheet material and a high-z material, determining a current relative signal level comparing a current signal level of the first and second signal, and identifying a current composite sheet material grade for the composite sheet from the composite material grades using the current relative signal level. Based on the current composite material grade a current sensor calibration is chosen from the sensor calibrations, and 1 physical parameter for the composite sheet is determined from the current sensor calibration.

A measurement apparatus includes a beta gauge for generating a first sensor response signal from a composite sheet including a sheet material having a coating thereon including a high-z material or the sheet material has particles including the high-z material embedded in the sheet material. A second sensor being an x-ray or an infrared (IR) sensor provides a second sensor response signal from the composite sheet. A computing device is coupled to receive the first and the second sensor response signal that includes a processor having an associated memory for implementing an algorithm that uses the first and the second sensor response signal to simultaneously compute two or more weight measures selected from (i) a weight per unit area of the high-z material, (ii) a weight per unit area of the sheet material, and (iii) a total weight per unit area of the composite sheet.