System and method for efficient identification of developmental anomalies

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

• obtaining a first set of at least one multimedia content element showing at least one crop, wherein the first set of at least one multimedia content element is captured using a first set of at least one capturing parameter;
• obtaining normal development data for the at least one crop, wherein the normal development data represents at least one normal development characteristic of the at least one crop;
• analyzing, via machine vision, the first set of at least one multimedia content element to identify a first set of at least one characteristic of the at least one crop;
• determining, based on the first set of at least one characteristic and the normal development data, whether a suspected anomaly is identified, wherein the suspected anomaly is identified when the first set of at least one characteristic deviates from the normal development data;
• and
• verifying if the suspected anomaly is an anomaly in development of the at least one crop using a second set of at least one multimedia content element, wherein the second set of at least one multimedia content element is captured using a second set of at least one capturing parameter.

A system for efficiently identifying developmental anomalies, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• obtain a first set of at least one multimedia content element showing at least one crop, wherein the first set of at least one multimedia content element is captured using a first set of at least one capturing parameter;
• obtain normal development data for the at least one crop, wherein the normal development data represents at least one normal development characteristic of the at least one crop;
• analyze, via machine vision, the first set of at least one multimedia content element to identify a first set of at least one characteristic of the at least one crop;
• determine, based on the first set of at least one characteristic and the normal development data, whether a suspected anomaly is identified, wherein the suspected anomaly is identified when the first set of at least one characteristic deviates from the normal development data;
• and
• verify if the suspected anomaly is an anomaly in development of the at least one crop using a second set of at least one multimedia content element, wherein the second set of at least one multimedia content element is captured using a second set of at least one capturing parameter.