Leaves falling gently or fluttering are common phenomenon in nature scenes.The authenticity of Popcorn Maker leaves falling plays an important part in the dynamic modeling of natural scenes.The leaves falling model has a widely applications in the field of animation and virtual reality.We propose a novel modeling method of fluttering leaves based o
Neotectonics of Graciosa island (Azores): a contribution to seismic hazard assessment of a volcanic area in a complex geodynamic setting
Graciosa is Popcorn Maker a mid-Pleistocene to Holocene volcanic island that lies in a complex plate boundary between the North American, Eurasian, and Nubian plates.Large fault scarps displace the oldest (Middle Pleistocene) volcanic units, but in the younger areas recent volcanism (Holocene to Upper Pleistocene) conceals the surface expression of
Evaluation of the Residues of Rice (Oryza sativa L.), Black-Eyed Pea (Vigna unguiculata L.), Dill (Anethum graveolens L.), and Aubergine (Solanum melongena L.) on Characteristics of Soil, in Cultivation without Chemical Inputs Corn (Zea mays L.)
Introduction[1] Pre-cultivated plants are types of plants that, after harvesting the economic part, the plant residuals are returned to the soil to increase the organic matter and to improve the next plant’s productivity.The use of plant residues can improve biological health by reducing the chemical inputs used in agriculture.Due to the fact th
Fruit freshness detection based on multi-task convolutional neural network
Background: Fruit freshness detection by computer vision is essential for many agricultural applications, e.g., automatic harvesting and supply chain monitoring.This paper proposes to use the multi-task learning (MTL) paradigm to build a deep convolutional neural work for fruit freshness detection.Results: We design an MTL model that optimizes the