{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T21:47:44Z","timestamp":1772833664072,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2012,1,11]],"date-time":"2012-01-11T00:00:00Z","timestamp":1326240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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 in-situ, real-time and multi-symptom analysis. There exist methods to obtain information about the health and nutritional status of plants based on reflectance and chlorophyll fluorescence, but they use expensive equipment and are frequently destructive. Therefore, systems able of quantifying plant symptoms overcoming the aforementioned disadvantages that can serve as indicators of health and nutrition in plants are desirable. This paper reports an FPGA-based smart sensor able to perform non-destructive, real-time and in-situ analysis of leaf images to quantify multiple symptoms presented by diseased and malnourished plants; this system can serve as indicator of the health and nutrition in plants. The effectiveness of the proposed smart-sensor was successfully tested by analyzing diseased and malnourished plants.<\/jats:p>","DOI":"10.3390\/s120100784","type":"journal-article","created":{"date-parts":[[2012,1,11]],"date-time":"2012-01-11T11:57:20Z","timestamp":1326283040000},"page":"784-805","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Smart Sensor for Real-Time Quantification of Common Symptoms Present in Unhealthy Plants"],"prefix":"10.3390","volume":"12","author":[{"given":"Luis M.","family":"Contreras-Medina","sequence":"first","affiliation":[{"name":"HSPdigital-CA Mecatr\u00f3nica, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, Qro., M\u00e9xico"},{"name":"Ingenier\u00eda de Biosistemas CA, Divisi\u00f3n de Estudios de Posgrado, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Cerro de las Campanas S\/N, 76010 Quer\u00e9taro, Qro., M\u00e9xico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0868-2918","authenticated-orcid":false,"given":"Roque A.","family":"Osornio-Rios","sequence":"additional","affiliation":[{"name":"HSPdigital-CA Mecatr\u00f3nica, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, Qro., M\u00e9xico"}]},{"given":"Irineo","family":"Torres-Pacheco","sequence":"additional","affiliation":[{"name":"Ingenier\u00eda de Biosistemas CA, Divisi\u00f3n de Estudios de Posgrado, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Cerro de las Campanas S\/N, 76010 Quer\u00e9taro, Qro., M\u00e9xico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3192-5332","authenticated-orcid":false,"given":"Rene de J.","family":"Romero-Troncoso","sequence":"additional","affiliation":[{"name":"HSPdigital-CA Mecatr\u00f3nica, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, Qro., M\u00e9xico"}]},{"given":"Ramon G.","family":"Guevara-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Ingenier\u00eda de Biosistemas CA, Divisi\u00f3n de Estudios de Posgrado, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Cerro de las Campanas S\/N, 76010 Quer\u00e9taro, Qro., M\u00e9xico"}]},{"given":"Jesus R.","family":"Millan-Almaraz","sequence":"additional","affiliation":[{"name":"Facultad de Ciencias F\u00edsico-Matem\u00e1ticas, Universidad Aut\u00f3noma de Sinaloa, Av. De las Am\u00e9ricas y Blvd., Universitarios, Cd. Universitaria, 80000 Culiac\u00e1n, Sin., M\u00e9xico"}]}],"member":"1968","published-online":{"date-parts":[[2012,1,11]]},"reference":[{"key":"ref_1","unstructured":"Agrios, G.N. (2005). Plant Pathology, Elsevier. [5th ed]."},{"key":"ref_2","unstructured":"Taiz, L., and Zeiger, E. (2006). Plant Physiology, Sinauer Associates. [4th ed]."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1094\/PDIS-92-6-0927","article-title":"Characteristics of the perception of different severity measures of citrus canker and the relationships between the various symptom types","volume":"92","author":"Bock","year":"2008","journal-title":"Plant Dis"},{"key":"ref_4","first-page":"7399","article-title":"Mathematical modelling tendencies in plant pathology","volume":"8","year":"2009","journal-title":"Afr. J. 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