How Smartphone Devices Can Be Integrated With Spectral Signatures To Detect Matag Hybrid?

Smartphones have become a convenient tool in agriculture due to their mobility, affordability, and capacity to enhance more efficient crop monitoring, including MATAG variety identification. Detecting MATAG hybrid varieties remains challenging because their morphological traits are difficult to differentiate macroscopically, but reflectance values can be generated using a spectral signature graph. This review aims to explore the development of an intelligent identification system for the MATAG variety based on spectral signature analysis using a smartphone device. It discusses characterisation of MATAG hybrids, spectral signature differences between each coconut species, the development of spectral signature libraries, and the potential of smartphone-spectral signature-based applications compared with manual inspection and laboratory analysis. It also highlights the mechanisms of MATAG variety detection based on spectral signature analysis using a smartphone and practical considerations for farmers. Case studies and testimonials from farmers on how smartphone devices have revolutionised crop monitoring practices were also discussed, together with the potential benefits of using this technology for the agricultural industry. It also elaborates on the opportunities and challenges of detecting MATAG variety using smartphone-spectral approaches, which will be a useful resource for app developers to solve the problems in the field. Overall, this review provides a comprehensive overview of smartphone-spectral signature integration for MATAG detection that eventually helps farmers in the plantation.