Systems and Methods for Tracking Controlled Items

Abstract

According to the present disclosure, a method for monitoring a controlled item may include providing a server communicatively coupled to memory, wherein said memory stores certain predetermined values for a given genetic identifier of a strain of a controlled substance. The genetic identifier may be comprised of the cannabinoid profile of that specific strain. The method may also include storing a set of growth factors. These growth factors and predetermined values may be used to properly track the growth cycle of a controlled substance to avoid diversion. The method may provide for the automatic updating of predetermined values to accurately adjust for variance.

What is claimed is: 
     
         1 . A method for monitoring a controlled item, the method comprising:
 providing a server comprising one or more processors communicatively coupled to memory comprising at least one memory partition;   associating a code comprising a genetic identifier of a strain of a controlled item with a predetermined yield;   associating the predetermined yield with a set of growth factors and a set of predetermined growth factor values;   receiving from a client device at least one input associated with the code;   storing the at least one inputs on the at least one memory partition; and   performing at least one diagnostic function based on the at least one input.   
     
     
         2 . The method of  claim 1  wherein said growth factors comprises one or more of:
 a plant medium; 
 a temperature; 
 a humidity; 
 a light intensity; 
 a light duration; 
 a nutrient schedule; 
 a watering schedule; and 
 a trimming schedule. 
 
     
     
         3 . The method of  claim 1  further comprising;
 receiving from the client device data of the growth factors; and 
 wherein said diagnostic function comprises:
 comparing the data to the growth factor values; and 
 transmitting an expected yield to the client device based upon the comparison and predetermined yield. 
 
 
     
     
         4 . The method of  claim 1  further comprising;
 storing a set of expected yields associated with at least one growth phase on the at least one memory partition; 
 receiving from a client device data of actual yields associated with the at least one growth phase; and 
 wherein said diagnostic function comprises:
 comparing the actual yields to the expected yields; and 
 notifying an alerted device if the actual yields vary from the expected yields by an amount greater than a predetermined tolerance. 
 
 
     
     
         5 . The method of  claim 4  wherein said alerted device comprises one or more of:
 the client device; 
 a law enforcement device; and 
 a regulatory body device. 
 
     
     
         6 . The method of  claim 1  wherein said predetermined yield comprises an average of acceptable yield data from representative growth cycles of the strain. 
     
     
         7 . The method of  claim 6  further comprising:
 storing a set of expected yields associated with at least one growth phase on the at least one memory partition; 
 receiving from the client device new data of actual yields associated with the at least one growth phase and data of the actual growth factor values; and 
 wherein said diagnostic function comprises:
 comparing the actual yields to the expected yields; 
 comparing the actual growth factor values to the predetermined growth factor values; and 
 updating the expected yield by appending the acceptable yield data with the new data of actual yields and recalculating an average if the actual yields and actual growth factor values do not vary from the expected yields and predetermined growth factor values by an amount greater than a predetermined tolerance. 
 
 
     
     
         8 . The method of  claim 1  wherein said genetic identifier comprises a quantity of at least one cannabinoid present in the strain. 
     
     
         9 . A system for monitoring a controlled item comprising:
 a server comprising one or more processors communicatively couples to memory; and   one or more client device communicatively coupled to the server; wherein the one or more processors of the server executes machine readable instructions to:   associate a code comprising a genetic identifier of a strain of a controlled item with a predetermined yield;   associate the predetermined yield with a set of growth factors and a set of predetermined growth factor values;   receive from a client device at least one input associated with the code;   store the at least one inputs on the at least one memory partition; and   perform at least one diagnostic function based on the at least one input.   
     
     
         10 . The system of  claim 8  wherein said growth factors comprises one or more of:
 a plant medium; 
 a temperature; 
 a humidity; 
 a light intensity; 
 a light duration; 
 a nutrient schedule; 
 a watering schedule; and 
 a trimming schedule. 
 
     
     
         11 . The system of  claim 8  wherein said one or more processors of the server executes machine readable instructions to:
 receive from the client device data of the growth factors; and 
 wherein said diagnostic function:
 compares the data to the growth factor values; and 
 transmits an expected yield to the client device based upon the comparison and predetermined yield. 
 
 
     
     
         12 . The system of  claim 8  wherein said one or more processors of the server executes machine readable instructions to:
 store a set of expected yields associated with at least one growth phase on the at least one memory partition; 
 receive from a client device data of actual yields associated with the at least one growth phase; and 
 wherein said diagnostic function:
 compares the actual yields to the expected yields; and 
 notifies an alerted device if the actual yields vary from the expected yields by an amount greater than a predetermined tolerance. 
 
 
     
     
         13 . The system of  claim 11  wherein said alerted device comprises one or more of:
 the client device; 
 a law enforcement device; and 
 a regulatory body device. 
 
     
     
         14 . The system of  claim 8  wherein said predetermined yield comprises an average of acceptable yield data from representative growth cycles of the strain. 
     
     
         15 . The system of  claim 13  wherein said one or more processors of the server executes machine readable instructions to:
 store a set of expected yields associated with at least one growth phase on the at least one memory partition; 
 receive from the client device new data of actual yields associated with the at least one growth phase and data of the actual growth factor values; and 
 wherein said diagnostic function:
 compares the actual yields to the expected yields; 
 compares the actual growth factor values to the predetermined growth factor values; and 
 updates the expected yield by appending the acceptable yield data with the new data of actual yields and recalculating an average if the actual yields and actual growth factor values do not vary from the expected yields and predetermined growth factor values by an amount greater than a predetermined tolerance.