Abstract BACKGROUND Unmanned aerial vehicles (UAVs) are a recently developed spraying technology. However, the effect of spray volume variation on deposition and pesticide control efficacy is unknown. The three UAV volumes (9.0, 16.8 28.1 L ha −1 ) using different nozzle sizes droplet wheat aphid powdery mildew was assessed. An electric air‐pressure knapsack (EAP) sprayer used as comparison. RESULTS Different significantly influenced EAP. For UAV, low 9.0 with fine (nozzle LU120‐01) resulted...

As a new low volume application technology, unmanned aerial vehicle (UAV) is developing quickly in China. The aim of this study was to compare the droplet deposition, control efficacy and working efficiency six-rotor UAV with self-propelled boom sprayer two conventional knapsack sprayers on wheat crop. total deposition other were not statistically significant, but significantly lower for run-off. uniformity droplets penetrability poor. variation coefficient 87.2%, which higher than 31.2%....

Previous studies have confirmed that choosing nozzles produce coarser droplets could reduce the risk of pesticide spray drift, but this conclusion is based on a large volume application, and it easy to ignore how impacts control effect. The difference from conventional carrier Unmanned Aerial Vehicle (UAV) very limited. Little was known about choose suitable with UAV’s limited ensure appropriate pest control. Droplet deposition addition adjuvant LU110-010, LU110-015, LU110-020 planthoppers...

Peanut is an important food crop, and diseases of its leaves can directly reduce yield quality. In order to solve the problem automatic identification peanut-leaf diseases, this paper uses a traditional machine-learning method ensemble output deep learning model identify peanut leaves. The included healthy leaves, rust disease on single leaf, leaf-spot scorch both leaf. Three types data-augmentation methods were used: image flipping, rotation, scaling. experiment, deep-learning had higher...

Plant diseases cause significant economic losses and food security in agriculture each year, with the critical path to reducing being accurate identification timely diagnosis of plant diseases. Currently, deep neural networks have been extensively applied disease identification, but such approaches still suffer from low accuracy numerous parameters. Hence, this paper proposes a model combining channel attention pruning called CACPNET, suitable for common species. The mechanism adopts local...

Leaf area index (LAI) is used to predict crop yield, and unmanned aerial vehicles (UAVs) provide new ways monitor LAI. In this study, we a fixed-wing UAV with multispectral cameras for remote sensing monitoring. We conducted field experiments two peanut varieties at different planting densities estimate LAI from images establish high-precision prediction model. eight vegetation indices (VIs) developed simple regression artificial neural network (BPN) models spectral VIs. The empirical model...

Detecting the daily behavior of broiler chickens allows early detection irregular activity patterns and, thus, problems in flock. In an attempt to resolve slow speed, low accuracy, and poor generalization ability traditional models actual breeding environment, we propose a chicken method called FCBD-DETR (Faster Chicken Behavior Detection Transformer). The FasterNet network based on partial convolution (PConv) was used replace Resnet18 backbone reduce computational complexity model improve...

The purpose of this study is to determine a method for quickly and accurately estimating the chlorophyll content peanut plants at different plant densities. This was explored using leaf spectral reflectance monitor detect sensitive bands optimum indicators establish quantitative model. Peanut under density conditions were monitored during three consecutive growth periods; single-photon avalanche diode (SPAD) hyperspectral data derived from leaves recorded. By combining arbitrary bands,...

Loop closure detection plays an important role in the construction of reliable maps for intelligent agricultural machinery equipment. With combination convolutional neural networks (CNN), its accuracy and real-time performance are better than those based on traditional manual features. However, due to use small embedded devices need handle multiple tasks simultaneously, achieving optimal response speeds becomes challenging, especially when operating large networks. This emphasizes study...

When compared with other laser configurations, stronger terahertz (THz) waves can be generated from gaseous plasmas driven using two-color <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi>ω</mml:mi> <mml:mo>+</mml:mo> <mml:mn>2</mml:mn> </mml:math> circularly polarized fields the same helicity (CP-S), but consideration of THz polarization state shows that these are linearly polarized. Here, we show polarization-controlled radiation, including CP-S pump...

In this article, a coupled-inductor (CI)-based bidirectional dc–dc converter with high voltage conversion ratio (VCR) and low stress is proposed. The topology can achieve VCR by employing two CIs; moreover, the interleaved technique overcomes defect of large current ripple in CI. A sensorless balance between CIs also realized without an auxiliary circuit complex control method. pulsewidth modulation plus phase-shift employed, where duty cycle <italic...

Overhead earth wire breakage accident may occur frequently, which can seriously affect the reliable operation of power grid. The main reason is contact resistance inside clamp as short-circuit current flows through it. To understand mechanism breakage, this paper conducts theoretical study on skin effect and suspension string with winding preformed armor rods. temperature rise experiments using new old are performed to verify analysis. results show that hotspots locate in fracture rods when...

A ripple-free bidirectional dc–dc converter with wide soft-switching range is proposed for battery charging/discharging application in this article. On side, the current ripple can maintain zero by two-phase interleaving technology spite of voltage and transfer power variation. Through series connection, high conversion ratio reduced stresses switches be achieved effectively. The built-in transformer allows a small magnetic component size, due to its inherent saturation avoidance. With...

In this article, a battery-friendly dc–dc converter with ripple-free current technique is proposed interfaced battery energy storage system (BESS). Two-phase interleaved circuits are adopted to cancel the ripple on BESS side. On high voltage (HV) side, circuit combined half-bridge and full-bridge employed achieve voltage-second balance control. With associated control strategy, power variables can be decoupled. The two ends of leakage inductor realized by adjustment duty cycle. After that,...

Meteorological factors are one of the important that affect distribution characteristics droplet deposition and drift in unmanned agricultural aircraft system spraying operations. Among meteorological elements, there many studies about effects wind speed, but few other variables such as temperature humidity. In order to reveal effect humidity on parameters operations, this study designed an experiment based following conditions: (1) a tunnel lab environment can well control environmental...

Air quality in many poultry buildings is less than desirable. However, the measurement of concentrations airborne pollutants livestock generally quite difficult. To counter this, development an autonomous robot that could collect key environmental data continuously was initiated. This research presents a specific part larger study focused on preliminary laboratory test for evaluating navigation precision being developed under different ground surface conditions and localization algorithm...

Drought stress was a severe environmental constraint to peanut growth all over the world, and became more serious with global warming context. So, timely accurate monitoring of water status in is important for farmer irrigate promptly acquire higher yield. Our study conducted select most appropriate multispectral indices two cultivars based on canopy spectral reflectance visible-infrared (VIS) near infrared (NIR) region. The physiological parameters chlorophyll fluorescence (Fv/Fm), content...