Sensors | |
Smart Sensor for Real-Time Quantification of Common Symptoms Present in Unhealthy Plants | |
Luis M. Contreras-Medina1  Roque A. Osornio-Rios1  Irineo Torres-Pacheco2  Rene de J. Romero-Troncoso1  Ramon G. Guevara-González2  | |
[1] HSPdigital-CA Mecatrónica, Facultad de Ingeniería, Universidad Autónoma de Querétaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, Qro., México; E-Mails:;Ingeniería de Biosistemas CA, División de Estudios de Posgrado, Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, 76010 Querétaro, Qro., México; E-Mails: | |
关键词: smart sensors; symptoms in plants; computer vision; image processing; plant diseases; FPGA; | |
DOI : 10.3390/s120100784 | |
来源: mdpi | |
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【 摘 要 】
Plant responses to physiological function disorders are called symptoms and they are caused principally by pathogens and nutritional deficiencies. Plant symptoms are commonly used as indicators of the health and nutrition status of plants. Nowadays, the most popular method to quantify plant symptoms is based on visual estimations, consisting on evaluations that raters give based on their observation of plant symptoms; however, this method is inaccurate and imprecise because of its obvious subjectivity. Computational Vision has been employed in plant symptom quantification because of its accuracy and precision. Nevertheless, the systems developed so far lack
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland
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