Method and system for seed genetic purity estimation and cross-pollination detection in agricultural fields

A system, comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• receive a remote sensing data, a plurality of crop specific isolation distances, a weather data, a historical data and a soil health data of a region of interest;
• determine a crop type and a crop variety of each crop plot of one or more crop plots present in a predefined radius of the region of interest based on the remote sensing data using a supervised classification technique;
• detect a plurality of phenological stages of a crop planted in each crop plot of the one or more crop plots present in the predefined radius of the region of interest based on the remote sensing data;
• classify the plurality of phenological stages of each crop of the one or more crop plots based on one or more vegetation indices using a time-series based classification algorithm, wherein the one or more vegetation indices are predefined, and wherein a timing of flowering phenological stage is determined based on the time-series based classification;
• check whether any other crop plot of a same crop type or same crop variety is present within a buffer zone created for the region of interest, wherein the buffer zone is created specific to a crop type or crop variety present in the region of interest based on the plurality of crop specific isolation distances;
• upon determining that at least one crop plot of the same crop type or same crop variety is present within the buffer zone, determine a spatial isolation distance for the region of interest to check contamination due to at least one of a) same crop type and b) same crop variety, within the buffer zone, wherein the determined spatial isolation distance is used to estimate a spatial distance score based on a predefined spatial distance score calculation technique;
• compare the timing of the flowering phenological stage of the at least one crop plot with that of the at least one other crop plot having at least one of a) the same crop type and b) the same crop variety present in the buffer zone, for identifying a timing overlap in the flowering phenological stage of the at least one crop plot with same crop type or same crop variety in the buffer zone;
• upon identifying the timing overlap in the flowering phenological stage, assess a temporal isolation distance for the region of interest, wherein the assessed temporal isolation distance is further utilized to determine a temporal isolation distance score based on a predefined temporal isolation distance score calculation technique;
• calculate a pollen transfer probability for the region of interest based, at least in part, on the weather data and the remote sensing data, wherein a wind speed and a wind direction present in the weather data and distances between crop plots present outside the buffer zone are analyzed for calculating the pollen transfer probability, and wherein the distances between the crop plots present outside the buffer zone are calculated using the remote sensing data;
• detect a plurality of mechanical barriers that restrict pollen transfer between the one or more crop plots present in the predefined radius of the region of interest based on the remote sensing data and the weather data, wherein one or more attributes of each mechanical barrier of the plurality of mechanical barriers are also determined;
• determine a mechanical isolation distance score based, at least in part, on the one or more mechanical attributes, and the pollen transfer probability;
• and
• calculate a contamination score representing contamination happened due to cross-pollination in the region of interest based on the spatial distance score, the temporal isolation distance score and the mechanical isolation distance score using a contamination score calculation technique.

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• receiving a remote sensing data, a plurality of crop specific isolation distances, a weather data, a historical data, and a soil health data of a region of interest;
• determining a crop type and a crop variety of each crop plot of one or more crop plots present in a predefined radius of the region of interest based on the remote sensing data using a supervised classification technique;
• detecting a plurality of phenological stages of a crop planted in each crop plot of the one or more crop plots present in the predefined radius of the region of interest based on the remote sensing data;
• classifying the plurality of phenological stages of each crop of the one or more crop plots based on one or more vegetation indices using a time-series based classification algorithm, wherein the one or more vegetation indices are predefined, and wherein a timing of flowering phenological stage is determined based on the time-series based classification;
• checking whether any other crop plot of a same crop type or same crop variety is present within a buffer zone created for the region of interest, wherein the buffer zone is created specific to a crop type or crop variety present in the region of interest based on the plurality of crop specific isolation distances;
• upon determining that at least one crop plot of the same crop type or same crop variety is present within the buffer zone, determining a spatial isolation distance for the region of interest to check contamination due to at least one of a) same crop type and b) same crop variety, within the buffer zone, wherein the determined spatial isolation distance is used to estimate a spatial distance score based on a predefined spatial distance score calculation technique;
• comparing the timing of the flowering phenological stage of the at least one crop plot with that of the at least one other crop plot having at least one of a) the same crop type, and b) same crop variety, present in the buffer zone, for identifying a timing overlap in the flowering phenological stage of the at least one crop plot with same crop type or same crop variety in the buffer zone;
• upon identifying the timing overlap in the flowering phenological stage, assessing a temporal isolation distance for the region of interest, wherein the assessed temporal isolation distance is further utilized to determine a temporal isolation distance score based on a predefined temporal isolation distance score calculation technique;
• calculating a pollen transfer probability for the region of interest based, at least in part, on the weather data and the remote sensing data, wherein a wind speed and a wind direction present in the weather data and distances between crop plots present outside the buffer zone are analyzed for calculating the pollen transfer probability, and wherein the distances between the crop plots present outside the buffer zone are calculated using the remote sensing data;
• detecting a plurality of mechanical barriers that restrict pollen transfer between the one or more crop plots present in the predefined radius of the region of interest based on the remote sensing data and the weather data, wherein one or more attributes of each mechanical barrier of the plurality of mechanical barriers are also determined;
• determining a mechanical isolation distance score based, at least in part, on the one or more mechanical attributes, and the pollen transfer probability;
• and
• calculating a contamination score representing contamination happened due to cross-pollination in the region of interest based on the spatial distance score, the temporal isolation distance score, and the mechanical isolation distance score, using a contamination score calculation technique.