actual pathogen detection sensors and algorithms - a review实际的病原体检测传感器和算法u2014u2014审查.pdfVIP

Algorithms 2009, 2, 301-338; doi:10.3390/a2010301 OPEN ACCESS algorithms ISSN 1999-4893 /journal/algorithms Review Actual Pathogen Detection: Sensors and Algorithms - a Review Federico Hahn Irrigation Department, Universidad Autonoma Chapingo, Km 38.5 carr. Mexico-Texcoco, Texcoco, Mexico; E-Mail: fhahn@correo.chapingo.mx; Tel.: 52-595-9521551; Fax: 52-595-9521551 Received: 10 December 2008; in revised form: 13 February 2009 / Accepted: 24 February 2009 / Published: 3 March 2009 Abstract: Pathogens feed on fruits and vegetables causing great food losses or at least reduction of their shelf life. These pathogens can cause losses of the final product or in the farms were the products are grown, attacking leaves, stems and trees. This review analyses disease detection sensors and algorithms for both the farm and postharvest management of fruit and vegetable quality. Mango, avocado, apple, tomato, potato, citrus and grapes were selected as the fruits and vegetables for study due to their world-wide consumption. Disease warning systems for predicting pathogens and insects on farms during fruit and vegetable production are commonly used for all the crops and are available where meteorological stations are present. It can be seen that these disease risk systems are being slowly replaced by remote sensing monitoring in developed countries. Satellite images have reduced their temporal resolutio