Method and system for detecting infestation in agricultural products

An infestation detection system for agricultural products, the infestation detection system comprises:

• a plurality of image sensors;
• at least one processor;
• a memory communicatively coupled to the at least one processor, wherein the memory stores the at least one processor-executable instructions, which, on execution, causes the at least one processor to:
• capture hyperspectral imaging data and depth imaging data for a plurality of points on an agricultural product upon directing a light source at the plurality of points on the agricultural product;
• derive morphological details for the plurality of points on the agricultural product;
• determine spectral signatures for one or more pixels associated with the plurality of points in the agricultural product for complete 360° view by integrating the hyperspectral imaging data with the depth imaging data, wherein the at least one processor-executable instructions to determine the spectral signatures further causes the at least one processor-executable to:
• correct spectrum for one or more pixels associated with the plurality of points in the agricultural product based on depth information associated with the one or more pixels and a transformation function computed by integrating the hyperspectral imaging data with the depth imaging data,
• wherein the transformation function is computed for the plurality of points based on change in intensity over change in angle between a first point at top plane of the agricultural product to a second at any other region than top plane of the agricultural product;
• and
• classify one or more regions of the agricultural product based on matching of spectral signatures determined for the one or more pixels with pre-defined spectral signatures stored for a plurality of agricultural products in an infestation knowledge database, and thereby detecting infestation in the agricultural product.

A non-transitory computer-readable medium having stored thereon a set of computer-executable instructions for detecting infestation in agricultural products, the set of computer-executable instructions causing a computer comprising one or more processors to perform steps comprising:

• capturing, by an infestation detection system, hyperspectral imaging data and depth imaging data for a plurality of points on an agricultural product upon directing a light source at the plurality of points on the agricultural product;
• deriving, by the infestation detection system, morphological details for the plurality of points on the agricultural product;
• determining, by the infestation detection system, spectral signatures for one or more pixels associated with the plurality of points in the agricultural product for complete 360° view by integrating the hyperspectral imaging data with the depth imaging data, wherein determining the spectral signatures further comprises:
• correcting spectrum for one or more pixels associated with the plurality of points in the agricultural product based on depth information associated with the one or more pixels and a transformation function computed by integrating the hyperspectral imaging data with the depth imaging data,
• wherein the transformation function is computed for the plurality of points based on change in intensity over change in angle between a first point at top plane of the agricultural product to a second at any other region than top plane of the agricultural product;
• and
• classifying, by the infestation detection system, one or more regions of the agricultural product based on matching of the spectral signatures determined for the one or more pixels with pre-defined spectral signatures stored for a plurality of agricultural products in an infestation knowledge database, and thereby detecting the infestation in the agricultural product.