Daniel E. Guyer, Ph.D.
211 Farrall Hall
Michigan State University
East Lansing, MI 48824-1323
(517 ) 353-4517
- BE 815 Instrumentation
Extension and Research:
- Postharvest Handling
- Postharvest and Value-Added Processes for Fruit, Vegetables and Chestnuts
- Spectral Analysis, Machine Vision and Pattern Recognition for Ag. Sensing Applications
- Light Frequency Analysis, Fluorescence and Neural Networks for Fruit and Vegetable Quality Evaluation - The long term goal of this research is to develop a method to evaluate produce quality, and to automatically identify defects and/or insect presence in fruit, utilizing the technology and physiology of light energy interaction with fruit and vegetable tissue. The hypothesis of this study is that tissue characteristics of fruits and vegetables, such as bruising and other grade reducing surface and subsurface defects, can be accurately and efficiently detected and quantified with a system combining spectral reflectance, fluorescence, imaging, and neural network decision theory.
- Technology and Principles for Assessing and Retaining Postharvest Quality of Fruit and Vegetables; includes investigation of means to optimize water usage during the chilling process of tart cherries while maximizing processed product quality and financial returns.
- Postharvest handling and processing systems for chestnuts; Evaluation of chestnut varieties and postharvest handling processes to maximize chestnut peeling efficiency during commercial peeling. Development and/or application of mechanical and electronic sorting operations for chestnut quality.
- Automation for Specialty Crop Management: Development of sensing systems to lessen orchard management inputs, including labor and chemical inputs, to reduce production costs and minimize environmental impact resulting in more sustainable systems. A current specific focus is on automated insect detection systems to minimize expert scouting requirements leading to precision timing of pest control.