Therefore, an accurate identification has become essential to overcome this problem. Without recognizing insect, farmers use pesticides in excessive quantities, which can’t help in the prevention of disease, but can have malignant effects on plants. Experimental results show that this dataset brings many challenges for the development of identification algorithms for insects, especially small insects, diverse and complex structures.ĭue to lack of knowledge of plant diseases and unavailability of expertise, farmers of rural areas can’t detect the insect effectively. We have evaluated several state-of-the-art classification and detection algorithms on this dataset. Specifically, this dataset contains more than annotated 29,614 images in 204 different insect specimens. In this project, we present the construction of image large dataset of important insect species affecting agricultural production. This limits the development of advanced machine learning algorithms for entomology. However, the current image database of important insects in Vietnam for identification has not been systematically and large enough. Accurate identification of beneficial insects automatically helps minimize the use of pesticides, production costs, environmental pollution, and ensure ecological balance. On the earth there are over 1 million insect species, of which, only 500 species are specialized in destroying crops and fruit trees, the rest are useful insects, they kill harmful insects, protect crops. Insects play an important role in sustainable agricultural development. Insect classification and detection datasets Insects), this step marks the transition from the physical to the digital domain then (3) reconstruction of a single 3D model from those multiple images. The steps are (1) mounting the physical insect onto a pin (2) acquisition of 2D images of the specimen at different orientations (and focal depths for small The three main steps to create a natural-colour 3D model of specimen These are our 3D insect models in Sketchfab Specifically, our goal is to build an insect data collection, which consists of pieces and images in Mekong Delta and develop a machine learning model that can automatically identify whether there is an insect in images taken by our camera system, and if so, what insects. The motivation of this project is to speed up this process in Vietnam by assembling relevant technologies and adapting/developing them to specific situations in Vietnam. Recent advancements in computer vision, machine learning, and computing & imaging hardware allow us to capture more data, extract more useful information, and run more automatically and at a lower cost. To achieve this, we need useful tools to gain the necessary insights to inform our decision making. The management of beneficial insects and pests require deep insight of their role and interactions in our ecosystem. Sustainable agriculture relies on proper insect management. On the other hand, insect pests harm beneficial insects, and damage crops and environment. Beneficial insects pollinate our crops, feed on harmful insects, and are a food source for other animals. Become an expert identifier and guardian against pests in your surroundings.Insects play a significant role in our ecosystem and are the foundation of our food chain. Whether you're outdoors or simply want to identify pests around your home, our app is here to help.ĭownload the Insect Identifier App today and embark on a captivating journey through the world of insects. Our app is a valuable resource for nature enthusiasts, students, researchers, and anyone curious about the insect world. Mosquito Identifier: Learn about the various mosquito species, their habitats, and potential health risks. Photo-Based Identification: Simply snap a picture of the insect, and our image recognition technology will do the rest, providing you with accurate information. Pest Scanner: Worried about pests like termites or flies? Our app scans images to help you spot potential threats and take timely action. Discover their species, habits, and habitat with just a photo.īee Finder: Quickly identify different bee species, learn about their vital role as pollinators, and understand their behavior. With our award-winning image recognition technology, you can effortlessly scan photos to identify a wide variety of insects, including butterflies, mosquitoes, bees, and more.īutterfly Identification: Explore the beauty of butterflies with our precise identifier. Discover the fascinating world of insects with the Insect Identifier App, your ultimate butterfly and pest identification tool.
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