A5016473968- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Peanut Plant Research Studies
- Soybean genetics and cultivation
- Insect behavior and control techniques
- Power Transformer Diagnostics and Insulation
- Management, Economics, and Public Policy
- Magnetic and Electromagnetic Effects
- GABA and Rice Research
- Genetics and Plant Breeding
- Insect Utilization and Effects
- Electrohydrodynamics and Fluid Dynamics
- Food composition and properties
- Diverse Aspects of Tourism Research
- Diverse academic and cultural studies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Insect Pest Control Strategies
University of Basilicata
2024-2025
Hyperspectral imaging (HSI) is one of the non-destructive quality assessment methods providing both spatial and spectral information. HSI in food safety can detect presence contaminants, adulterants, attributes, such as moisture, ripeness, microbial spoilage, a manner by analyzing signatures components wide range wavelengths with speed accuracy. However, data be quite complicated time consuming, addition to needing some special expertise. Artificial intelligence (AI) has shown immense...
This review explores the transformative potential of precision agriculture and proximal sensing in revolutionizing crop management practices. By delving into complexities these cutting-edge technologies, it examines their role mitigating adverse impacts agrochemical usage while bringing health monitoring to a high level. The explains how optimizes production safeguarding environmental integrity, thus offering viable solution both ecological economic challenges arising from excessive...
Multispectral imaging plays a key role in crop monitoring. A major challenge, however, is spectral band misalignment, which can hinder accurate plant health assessment by distorting the calculation of vegetation indices. This study presents novel approach for short-range calibration multispectral camera, utilizing stereo vision precise geometric correction acquired images. By using camera lenses as binocular pairs, sensor acquisition distance was estimated, and an alignment model developed...
This study aims to evaluate and classify the ripening stages of yellow-fleshed kiwifruit by integrating spectral physicochemical data collected from pre-harvest phase through 60 days storage. A portable near-infrared (NIR) spectrometer (900–1700 nm) was used develop predictive models for soluble solids content (SSC) firmness (FF), testing multiple preprocessing methods within a Partial Least Squares Regression (PLSR) framework. SNV achieved best predictions FF (R2P = 0.74, RMSEP 12.342 ±...
This study presents the analysis and modeling of optimal connection between an asynchronous three-phase electrical induction motor a horizontal centrifuge used in olive oil extraction. The simulation, carried out using well-established Simscape Electrical by Matlab R2024a, offers advantage reducing purchasing cost electronic drivers electric motors to be tested. Different cases among driver, motor, were examined. findings indicate that oversizing is required increase machine efficiency...
Drosophila suzukii (Matsumura), also known as spotted wing drosophila (SWD), is invasive, with a preference for infesting commercially viable soft berries, particularly cherries. SWD infestations in sweet cherries are difficult to detect and remove the field, packing houses, processing lines, causing significant economic losses reducing yields significantly, necessitating early detection of insect infestation fruits during primary decaying stages. Few publications have addressed use...