Presently in agriculture, there is much ample scope for drone and UAS (Unmanned Aircraft System) development. Because of their low cost small size, these devices have the ability to help many developing countries with economic prosperity. The entire aggregation financial investments agricultural area has increased appreciably recent years. Sooth say, agriculture remains a massive part world’s commercial growth, due some complications, fields withstand losses. Pets destructive insects seem be...

A solution of NH3 detection based on catalytic conversion into NOx was proposed by using MOS gas detectors and Pt-supported catalysts. The catalysts convert NOx, which is a very sensitive analyte for detectors. Catalysts Pt-loaded HZSM-5 Al2O3 were prepared wet impregnation. fabricated from nanosized In2O3 WO3 screen-printing techniques. As expected, sensors have an extremely high sensitivity to NO2; nevertheless, they relatively low response large cross-sensitivity typical interfering gases...

Generative adversarial networks (GANs) have achieved many excellent results in hyperspectral image (HSI) classification recent years, as GANs can effectively solve the dilemma of limited training samples HSI classification. However, due to class imbalance problem data, always associate minority-class with fake label. To address this issue, we first propose a semi-supervised generative network incorporating transformer, called HyperViTGAN. The proposed HyperViTGAN is designed an external...

This study examines existing buildings in Haikou China under tropical island climate conditions. It presents three retrofit design models for greenhouses roofs (GHR), green (GR) and photovoltaic (PVR). The carbon cost of each roof model is calculated the production transportation phases building materials, construction, demolition. changes electricity consumption, water plant reduction are coupled to calculate generated by phase use retrofitted roofs. per unit area GHR, GR PVR over life...

Abstract Traditional bulky and complex control devices such as remote ground station cannot meet the requirement of fast flexible unmanned aerial vehicles (UAVs) in environments. Therefore, a data glove based on multi-sensor fusion is designed this paper. In order to achieve goal gesture UAVs, method can accurately recognize various gestures convert them into corresponding UAV commands. First, wireless fuses fiber optic sensors inertial construct dataset. Then, trained neural network model...

Accurate and reliable wind speed forecasting is crucial for farm planning grid operation security. To improve the accuracy of forecasting, a novel combined model proposed in this article. First, complete ensemble empirical mode decomposition adaptive noise (CEEMDAN) permutation entropy (PE) are employed to decompose original time series into sub-series with obvious complexity different; overcome disadvantage weak generalization ability single deep learning method when facing diversiform...

Abstract In the application of rotorcraft atmospheric environment detection, to reflect distribution pollutants more realistically and completely, sampling points must be spread throughout entire three-dimensional space, cooperation multiple unmanned aerial vehicles (multi-UAVs) can ensure real-time performance increase operational efficiency. view problem coordinated detection by multi-UAVs, region division global coverage path planning stereo space detected are studied. A whale...

The purpose of activity recognition is to identify activities through a series observations the experimenter’s behavior and environmental conditions. In this study, feature selection algorithms, we researched effects large number features on human (HAR) assisted by an inertial measurement unit (IMU), applied them smartphones future. research process, considered 585 (calculated from tri-axial accelerometer gyroscope data). We comprehensively analyzed signals classification methods. Three...

Traditional heavy and complex control equipment such as remote controllers (RCs) ground stations (GSs) are not able to meet the fast flexible requirements of unmanned aerial vehicles (UAVs) in environments. This article thus proposes a gesture recognition method for UAVs. To achieve goal gestural manipulation UAVs, this can accurately recognize variety gestures convert into corresponding UAV commands. First, wireless data glove incorporates flex sensors, inertial sensors used gather...

The accurate prediction of PM2.5 concentrations is important for environmental protection. accuracy the commonly used methods not high; so, this paper proposes a concentration method based on hybrid learning model. Top-of-Atmosphere Reflectance (TOAR), data decomposed by wavelets, and meteorological were as input features to build an integrated model using random forest LightGBM, which was applied in Beijing–Tianjin–Hebei region. practical application showed that proposed TOAR, incorporating...

Trace hydrogen detection plays an important role in the safety of lithium-ion batteries (LIBs) due to generation and leakage trace early stage LIBs damage. In this work, amperometric sensor based on solid polymer electrolyte was reported. The sandwich device structure realized, which could directly diffuse gas from both sides three-phase interface (gas/electrode/electrolyte) participate reaction through optimal design diffusion path. Then, platinum nanoparticles (Pt-NPs) were loaded metal...

Mobile robot olfaction of toxic and hazardous odor sources is great significance in anti-terrorism, disaster prevention, control scenarios. Aiming at the problems low search efficiency easily falling into a local optimum current source localization strategies, paper proposes adaptive space-aware Infotaxis II algorithm. To improve tracking robots, new reward function designed by considering space information emphasizing exploration behavior robots. Considering enhancement exploratory...

The gas sensor array has long been a major tool for measuring due to its high sensitivity, quick response, and low power consumption. This goal, however, faces difficult challenge because of the cross-sensitivity sensor. paper presents novel mixture analysis method applications. features extracted from raw data utilizing principal component (PCA) were used complete random forest (RF) modeling, which enabled qualitative identification. Support vector regression (SVR), optimized by particle...