Vertebrates Limb Geometry in the Simplex space

A novel metric comparison of the appendicular skeleton (fore and hind limb) ofdifferent vertebrates using the Compositional Data Analysis (CDA) methodologicalapproach it’s presented.355 specimens belonging in various taxa of Dinosauria (Sauropodomorpha, Theropoda,Ornithischia and Aves) and Mammalia (Prothotheria, Metatheria and Eutheria) wereanalyzed with CDA.A special focus has been put on Sauropodomorpha dinosaurs and the Aitchinsondistance has been used as a measure of disparity in limb elements proportions to infersome aspects of functional morphology

Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor

In this study, the evaluation of the accuracy and performance of a light detection and ranging (LIDAR) sensor for vegetation using distance and reflection measurements aiming to detect and discriminate maize plants and weeds from soil surface was done. The study continues a previous work carried out in a maize field in Spain with a LIDAR sensor using exclusively one index, the height profile. The current system uses a combination of the two mentioned indexes. The experiment was carried out in a maize field at growth stage 12–14, at 16 different locations selected to represent the widest possible density of three weeds: Echinochloa crus-galli (L.) P.Beauv., Lamium purpureum L., Galium aparine L.and Veronica persica Poir.. A terrestrial LIDAR sensor was mounted on a tripod pointing to the inter-row area, with its horizontal axis and the field of view pointing vertically downwards to the ground, scanning a vertical plane with the potential presence of vegetation. Immediately after the LIDAR data acquisition (distances and reflection measurements), actual heights of plants were estimated using an appropriate methodology. For that purpose, digital images were taken of each sampled area. Data showed a high correlation between LIDAR measured height and actual plant heights (R2 = 0.75). Binary logistic regression between weed presence/absence and the sensor readings (LIDAR height and reflection values) was used to validate the accuracy of the sensor. This permitted the discrimination of vegetation from the ground with an accuracy of up to 95%. In addition, a Canonical Discrimination Analysis (CDA) was able to discriminate mostly between soil and vegetation and, to a far lesser extent, between crop and weeds. The studied methodology arises as a good system for weed detection, which in combination with other principles, such as vision-based technologies, could improve the efficiency and accuracy of herbicide spraying.

Investigació en el camp d'aprenentatge de la Noguera. Quines valoracions realitzen les escoles usuàries ?

Els Camps d’Aprenentatge són uns Serveis Educatius de la Generalitat de Catalunya distribuïts pel territori Català. Personalment penso que són poc coneguts pels docents, per això, la meva investigació tracta de conèixer la seva història i descobrir quins temes es treballen en cadascun. Principalment, investigo el Camp d’Aprenentatge de la Noguera situat en la meva població, Sant Llorenç de Montgai, per aprofundir-me en aquest i descobrir el seu funcionament. D’aquesta manera, pretenc potenciar aquests serveis educatius que utilitzen estratègies metodològiques innovadores. Pel que fa la part pràctica d’aquesta recerca, analitzo les valoracions que van realitzar els centres escolars del primer i l’últim curs, per tal d’observar l’evolució i el creixement d’aquest CdA. A més, també analitzo les observacions de la sortida realitzada amb els infants de P-5 i 1r de Primària de l’escola Dos Rius de Camarasa. Per acabar, es troben les conclusions d’aquesta investigació.