检索结果-南通市图书馆

Use of unmanned aerial system (UAS) Phenotyping to Predict Pod and Seed Yield in Organic Peanuts

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

American Journal of Plant Sciences 2023年第3期14卷 415-426页

作者： Aurora Manley Waltram Ravelombola John Cason Brian Bennett Hanh Pham Emi Kimura Caroline Ruhl Waqas Ahmad Madeline Brown Texas A&M AgriLife Research Vernon Texas USA Department of Soil and Crop Sciences Texas A&M University College Station Texas USA Texas A&M AgriLife Research Stephenville Texas USA Texas A&M AgriLife Research Lubbock Texas USA Texas A&M AgriLife Extension Vernon Texas USA

Peanut (Arachis hypogaea L.) is a highly nutritious food that is an excellent source of protein and is associated with increased coronary health, lower risk of type-2 diabetes, lower risk of breast cancer and a healthy profile of inflammatory biomarkers. The domestic demand for organic peanuts has significantly increased, requiring new breeding efforts to develop peanut varieties adapted to the organic farming system. The use of unmanned aerial system (UAS) has gained scientific attention because of the ability to generate high-throughput phenotypic data. However, it has not been fully investigated for phenotyping agronomic traits of organic peanuts. Peanuts are beneficial for cardio system protection and are widely used. Within the U.S., peanuts are grown in 11 states on roughly 600,000 hectares and averaging 4500 kg/ha. This study’s objective was to test the accuracy of UAS data in the phenotyping pod and seed yield of organic peanuts. UAS data was collected from a field plot with 20 Spanish peanut breeding lines on July 07, 2021 and September 27, 2021. The study was a randomized complete block design (RCBD) with 3 blocks. Twenty-five vegetation indices (VIs) were calculated. The analysis of variance showed significant genotypic effects on all 25 vegetation indices for both flights (p < 0.05). The vegetation index Red edge (RE) from the first flight was the most significantly correlated with both pod (r = 0.44) and seed yield (r = 0.64). These results can be used to further advance organic peanut breeding efforts with high-throughput data collection.

关键词： Peanut unmanned aerial system Vegetation Indices Phenotyping Pod Yield Seed Yield

Autonomous UAV 3D trajectory optimization and transmission scheduling for sensor data collection on uneven terrains

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Defence Technology（防务技术） 2023年第12期30卷 154-160页

作者： Andrey V.Savkin Satish C.Verma Wei Ni School of Electrical Engineering and Telecommunications University of New South WalesSydneyAustralia Data61 CSIROCanberraACT2601Australia

This paper considers a time-constrained data collection problem from a network of ground sensors located on uneven terrain by an unmanned aerial Vehicle(UAV),a typical unmanned aerial system(UAS).The ground sensors harvest renewable energy and are equipped with batteries and data *** ground sensor model takes into account sensor data buffer and battery *** asymptotically globally optimal method of joint UAV 3D trajectory optimization and data transmission schedule is *** developed method maximizes the amount of data transmitted to the UAV without losses and too long delays and minimizes the propulsion energy of the *** developed algorithm of optimal trajectory optimization and transmission scheduling is based on dynamic *** simulations demonstrate the effectiveness of the proposed algorithm.

关键词： unmanned aerial system UAS unmanned aerial vehicle UAV Wireless sensor networks UAS-Assisted data collection 3D trajectory optimization Data transmission scheduling

Benchmarking dynamic properties of structures using non-contact sensing

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Earthquake Engineering and Engineering Vibration 2023年第2期22卷 387-405页

作者： Boshra Besharatian Amrita Das Abdelrahman Awawdeh Sattar Dorafshan Marc Maguire Department of Civil Engineering University of North DakotaGrand ForksND 58201USA Durham School of Architectural Engineering and Construction University of Nebraska-LincolnOmahaNE 68182USA

Non-contact sensing can be a rapid and convenient alternative for determining structure response compared to conventional *** vision has been broadly implemented to enable accurate non-contact dynamic response measurements for *** study has analyzed the effect of non-contact sensors,including type,frame rate,and data collection platform,on the performance of a novel motion detection *** recordings of a cantilever column were collected using a high-speed camera mounted on a tripod and an unmanned aerial system(UAS)equipped with visual and thermal *** test specimen was subjected to an initial deformation and *** acceleration data were collected using an accelerometer installed on the cantilever *** displacement from each non-contact sensor and the acceleration from the contact sensor were analyzed to measure the specimen′s natural frequency and damping *** specimen′s first fundamental frequency and damping ratio results were validated by analyzing acceleration data from the top of the specimen and a finite element model.

关键词： dynamic response non-contact sensing infrared thermography vision-based unmanned aerial system computer vision

High resolution aerial photogrammetry based 3D mapping of fruit crop canopies for precision inputs management

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Information Processing in Agriculture 2022年第1期9卷 11-23页

作者： Rajeev Sinha Juan J.Quiros Sindhuja Sankaran Lav R.Khot Department of Biological systems Engineering Center for Precision and Automated Agricultural SystemsWashington State UniversityProsserWA 99350United States

Rapid and accurate canopy attributes estimation is highly critical in fruit crops production management as this information can be used for canopy and crop load management as well as to develop nutrient/chemical prescription application ***,the existing ground based canopy sensing and attribute estimation methods are laborious and often involve complexity with field data collection and *** methods can be subjec-tive as ***,this study explores aerial photogrammetry based method of tree–row–volume(TRV),leaf–wall–area(LWA),canopy volume(CV)and canopy cover(CC)esti-mation for grapevine and apple *** sensing data was collected using a con-sumer–grade small unmanned aerial system(UAS)with an RGB imaging sensor flying at different flight altitudes i.e.,15 m(Ground sampling distance,GSD=0.45 cm pixel^(-1) at 65°sensor inclination),30 m(0.90 and 0.85 cm pixel^(-1) at 65°and 75°,respectively),45 m(1.35 and 1.27 cm pixel^(-1) at 65°and 75°,respectively)and 60 m(1.81 and 1.69 cm pixel^(-1) at 65°and 75°,respectively).Crop surface model(CSM)was derived from such data to esti-mate canopy height,width and foliage vigor,which are further used to estimate TRV,LWA,CV and *** ground measured and aerial imagery estimated TRV had a strong relation-ship with the data collected at the lowest GSD within grapevine canopies(R^(2)=0.77 at 0.45 cm pixel^(-1)as well as for apple canopies(R^(2)=0.82 at 0.90 cm pixel^(-1).Similar trends were observed for the LWA(R^(2)=0.77 and 0.86),CV(R^(2)=0.43 and 0.64)and CC(R^(2)=0.61 and 0.68)estimates for grapevine and apple canopies,*** GSD(≥0.45 cm pixel^(-1) in grapevine and≥0.90 cm pixel^(-1) in apple)resulted in a weak relationship between ground measurements and aerial imagery data-based estimates for grapevines(R^(2)=0.36)and apple canopies(R^(2)=0.39–0.78).Overall,the aerial flights with lower GSD and double grid missions with RGB imaging sensor in 65°orientation aided in the develo

关键词： unmanned aerial system Photogrammetry Tree-row-volume Leaf-wall-area Canopy cover Prescription maps

A Survey on Sensor-and Communication-Based Issues of Autonomous UAVs

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第2期138卷 1019-1050页

作者： Pavlo Mykytyn Marcin Brzozowski Zoya Dyka Peter Langendoerfer IHP-Leibniz-Institut für Innovative Mikroelektronik Wireless SystemsFrankfurt(Oder)15236Germany BTU Cottbus-Senftenberg Faculty 1:MINTCottbus03046German

The application field for unmanned aerial Vehicle (UAV) technology and its adoption rate have been increasingsteadily in the past years. Decreasing cost of commercial drones has enabled their use at a scale broader thanever before. However, increasing the complexity of UAVs and decreasing the cost, both contribute to a lack ofimplemented securitymeasures and raise new security and safety concerns. For instance, the issue of implausible ortampered UAV sensor measurements is barely addressed in the current research literature and thus, requires moreattention from the research community. The goal of this survey is to extensively review state-of-the-art literatureregarding common sensor- and communication-based vulnerabilities, existing threats, and active or passive cyberattacksagainst UAVs, as well as shed light on the research gaps in the literature. In this work, we describe theunmanned aerial system (UAS) architecture to point out the origination sources for security and safety *** the coverage and completeness of each related research work in a comprehensive comparison table as wellas classify the threats, vulnerabilities and cyber-attacks into sensor-based and communication-based ***, for each individual cyber-attack, we describe existing countermeasures or detectionmechanisms andprovide a list of requirements to ensureUAV’s security and *** also address the problem of implausible sensormeasurements and introduce the idea of a plausibility check for sensor data. By doing so, we discover additionalmeasures to improve security and safety and report on a research niche that is not well represented in the currentresearch literature.

关键词： unmanned aerial vehicle unmanned aerial system cyber security and privacy drone swarm security vulnerabilities cyber-threats cyber-attacks plausibility check