Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images

This paper aims at developing an automatic algorithm for moth recognition from trap images in real-world conditions. This method uses our previous work for detection [1] and introduces an adapted classification step. More precisely, SVM classifier is trained with a multi-scale descriptor, Histogram Of Curviness Saliency (HCS). This descriptor is robust to illumination changes and is able to detect and to describe the external and the internal contours of the target insect in multi-scale. The proposed classification method can be trained with a small set of images. Quantitative evaluations show that the proposed method is able to classify insects with higher accuracy (rate of 95.8%) than the state-of-the art approaches

Identification of Pecan Weevils Through Image Processing

The Pecan Weevil attacks the pecan nut, causes significant financial loss and can cause total crop failure. A traditional way of controlling this insect is by setting traps in the pecan orchard and regularly checking them for weevils. The objective of this study is to develop a recognition system that can serve in a wireless imaging network for monitoring pecan weevils. Recognition methods used in this study are based on template matching. The training set consisted of 205 pecan weevils and the testing set included 30 randomly selected pecan weevils and 75 other insects which typically exist in a pecan habitat. Five recognition methods, namely, Zernike moments, Region properties, Normalized cross-correlation, String matching, and Fourier descriptors methods were used in this recognition system. It was found that no single method was sufficiently robust to yield the desired recognition rate, especially in varying data sets. It was also found that region-based shape representation methods were better suited inBiosystems and Agricultural Engineerin

English for Geodesy and Land Management Students: tutorial.

English for Geodesy and Land Management Students is the manual for the students majoring in this specialty «Geodesy and Land Management» at higher education institutions and aimed at mastering the English language for specific purposes in this domain. The manual consists of 2 parts comprising the key theoretical issues students study at their special classes. The 1st part consists of 11 units. The 2nd part consists of 14 units. Each unit is designed in the way to provide students with the possibility to practice all language skills giving them flexibility in the field of future professional sphere. In the last part of the tutorial students can find texts for supplementary reading useful for efficient independent work

Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation

International audienceInsect detection is one of the most challenging problems of biometric image processing. This study focuses on developing a method to detect both individual insects and touching insects from trap images in extreme conditions. This method is able to combine recent approaches on contour-based and region-based segmentation. More precisely, the two contributions are: an adaptive k -means clustering approach by using the contour's convex hull and a new region merging algorithm. Quantitative evaluations show that the proposed method can detect insects with higher accuracy than that of the most used approaches

Engineering derivatives from biological systems for advanced aerospace applications

The present study consisted of a literature survey, a survey of researchers, and a workshop on bionics. These tasks produced an extensive annotated bibliography of bionics research (282 citations), a directory of bionics researchers, and a workshop report on specific bionics research topics applicable to space technology. These deliverables are included as Appendix A, Appendix B, and Section 5.0, respectively. To provide organization to this highly interdisciplinary field and to serve as a guide for interested researchers, we have also prepared a taxonomy or classification of the various subelements of natural engineering systems. Finally, we have synthesized the results of the various components of this study into a discussion of the most promising opportunities for accelerated research, seeking solutions which apply engineering principles from natural systems to advanced aerospace problems. A discussion of opportunities within the areas of materials, structures, sensors, information processing, robotics, autonomous systems, life support systems, and aeronautics is given. Following the conclusions are six discipline summaries that highlight the potential benefits of research in these areas for NASA's space technology programs

Seeing Ordinary Objects: The Minimal Condition, Amodal Completion, and Mental Files

This thesis seeks to explain the way in which we see ordinary objects like books, tables, and apples. Specifically, it is an attempt to explain the way that we are connected to the ordinary objects that populate our world despite the fact that we usually only receive sensory stimulation from small parts of them: their surfaces. I will suggest some conditions that must obtain for ordinary objects to be seen and present a conceptual schema based on the notion of ‘mental files’ that can be used to explain this phenomenon. Mental files, I argue, can not only be used to explain our perceptual connection to ordinary objects but can also dissolve some of the epistemic worries raised by amodal completion and the problem of incomplete sensory information

Protected Area Management

Until recently, values and benefits from protected areas have often been underestimated as well as taken for granted. Protected Area Management - Recent Advances demonstrates that there are deep necessities in how the wider scientific, environmental, socioeconomic, and cultural values that these natural ecosystems provide should increasingly be recognized. The book highlights various approaches for managing and conserving protected areas to respond to some pressing global challenges such as climate change, demand for food and energy, overexploitation, and habitat change. It addresses these issues in five main sections that cover biodiversity and genetic resources; protected marine areas; community, ecotourism, and protected areas; and protected area conservation and monitoring