ENHANCING HOST-PATHOGEN PHENOTYPING DYNAMICS: EARLY DETECTION OF TOMATO BACTERIAL DISEASES USING HYPERSPECTRAL POINT MEASUREMENT AND PREDICTIVE MODELING

Early diagnosis of plant diseases is needed to promote sustainable plant protection strategies.Applied predictive modeling over hyperspectral spectroscopy (HS) Reclaimers data can be an effective, fast, cost-effective approach for improving plant disease diagnosis.This study aimed to investigate the potential of HS point-of-measurement (POM) data f

RELEVANCE.Agricultural enterprises generate vegetable waste, which is difficult to utilize.Such waste can be used for combustion in boilers, providing thermal and electric energy to an agricultural energy complex.A hybrid mini-thermal power plant combining renewable energy Bangers sources and plant biofuels will be able to provide more economical,

This study investigates the influence of price, brand, and novelty consciousness of customer style inventory (CSI) on purchase intention of shoes using Facebook.The involvement of opinion seeking using electronic word of mouth (eWOM) and attitude towards social online shopping as mediators of relationship between CSI and purchase intention is also