2025, Vol. 8, Issue 4, Part I

author(s)
Kipoo Kiran Singh Mahilang, A Qureshi, Ashish Kumar Kerketta, NK Koumary and SK Gilhare

abstract
Ensuring the protection of the worldwide meals deliver is a large assignment, particularly in detecting dangerous chemical residues in end result and vegetables. synthetic Intelligence (AI) and tool studying (ML) generation offer powerful solutions for identifying those contaminants. Hyperspectral imaging, a non-destructive method, is regularly blended with AI and ML algorithms to locate chemical materials in agricultural merchandise.ML algorithms are capable of spotting wonderful chemical signatures via way of reading the perfect spectral patterns genenotabled via the usage of various compounds. several system gaining knowledge of models, including artificial Neural Networks (ANNs), help Vector Machines (SVMs), Random Forests and Convolutional Neural Networks (CNNs), are employed to pick out a huge type of chemical materials, together with pesticides, herbicides and distinctive harmful entrepreneurs. Integrating AI and ML with hyperspectral imaging no longer first-class complements the accuracy of chemical detection however also contributes to improving the protection and traceability of meals products, ultimately assisting public fitness and nicely-being on a international scale.