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Objective To establish a snail control approach for spraying chemicals with drones against Oncomelania hupensis in complex snail habitats in hilly regions, and to evaluate its molluscicidal effect. Methods The protocol for evaluating the activity of spraying chemical molluscicides with drones against O. hupensis snails was formulated based on expert consultation and literature review. In August 2022, a pretest was conducted in a hillside field environment (12 000 m2) north of Dafengji Village, Dacang Township, Weishan County, Yunnan Province, which was assigned into four groups, of no less than 3 000 m2 in each group. In Group A, environmental cleaning was not conducted and 5% niclosamide ethanolamine salt granules were sprayed with drones at a dose of 40 g/m2, and in Group B, environmental cleaning was performed, followed by 5% niclosamide ethanolamine salt granules sprayed with drones at a dose of 40 g/m2, while in Group C, environmental cleaning was not conducted and 5% niclosamide ethanolamine salt granules were sprayed with knapsack sprayers at a dose of 40 g/m2, and in Group D, environmental cleaning was performed, followed by 5% niclosamide ethanolamine salt granules sprayed with knapsack sprayers at a dose of 40 g/m2. Then, each group was equally divided into six sections according to land area, with Section 1 for baseline surveys and sections 2 to 6 for snail surveys after chemical treatment. Snail surveys were conducted prior to chemical treatment and 1, 3, 5, 7 days post-treatment, and the mortality and corrected mortality of snails, density of living snails and costs of molluscicidal treatment were calculated in each group. Results The mortality and corrected mortality of snails were 69.49%, 69.09%, 53.57% and 83.48%, and 68.58%, 68.17%, 52.19% and 82.99% in groups A, B, C and D 14 days post-treatment, and the density of living snails reduced by 58.40%, 63.94%, 68.91% and 83.25% 14 days post-treatment relative to pre-treatment in four groups, respectively. The median concentrations of chemical molluscicides were 37.08, 35.42, 42.50 g/m2 and 56.25 g/m2 in groups A, B, C and D, and the gross costs of chemical treatment were 0.93, 1.50, 0.46 Yuan per m2 and 1.03 Yuan per m2 in groups A, B, C and D, respectively. Conclusions The molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones against O. hupensis snails is superior to manual chemical treatment without environmental cleaning, and chemical treatment with drones and manual chemical treatment show comparable molluscicidal effects following environmental cleaning in hilly regions. The cost of chemical treatment with drones is slightly higher than manual chemical treatment regardless of environmental cleaning. Spraying 5% niclosamide ethanolamine salt granules with drones is recommended in complex settings with difficulty in environmental cleaning to improve the molluscicidal activity and efficiency against O. hupensis snails.
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Abstract Introduction: High Andean flamingos also known as parihuanas, are species of recurrent presence in the high Andean areas which find this area as an important resting, feeding and in some cases breeding area The species recorded here correspond to Phoenicoparrus jamesi, Phoenicoparrus andinus and Phoenicopterus chilensis, the latter being the most abundant and common. During the censuses performed during 2018 and 2019, in the high Andean lake of Salinas, Ramsar site, located within the Reserva Nacional Salinas y Aguada Blanca in Southern Peru, atypical behaviors of these birds were recorded in a sector of the lake, observing reproductive courtship and the settlement of colonies of P. chilensis. Objective: The study aimed to confirm and evaluate reproductive events of P. chilenesis (Chilean flamingo) through the use of an unmanned aerial vehicle (UAV) and image processing tools using geographic information systems. Methodology: Monitoring was conducted during 2018 and 2019 to breeding colonies of P. chilensis, we used a UAV Phantom 4 testing different flight altitudes to avoid disturbing the birds and performed records of aerial photographs and GIS post-processing with the creation of panchromatic images for the identification and counting of individuals and eggs automated, and manual verification. Results: During 2018 were identified nests and presence of six eggs, this occurred between March and June where the event was interrupted not observing chicks or juveniles during this period, for 2019 the breeding was more successful, where a higher number of eggs were counted (40-66) and with the formation of three reproductive colonies with 4 185 adult individuals, also verified the presence of chicks and juveniles that reached a maximum of 1 491 individuals. Conclusions: We confirmed two continuous reproductive events of P. chilensis in the Salinas lake, where during 2019 was the most successful incorporating several new individuals to the initial population, likewise the methodology applied in the image processing allowed differentiating between adult individuals and eggs but did not allow differentiating juveniles, however, the images directly acquired by the UAV allow distinguishing the types of individuals to perform a manual count.
Resumen Introducción: Los flamencos altoandinos también conocidos como parihuanas, son especies con presencia recurrente en las zonas altoandinas, principalmente en humedales salinos donde suelen arribar para descanso, alimentación y en algunos casos reproducción. Las especies que se registran aquí corresponden a Phoenicoparrus jamesi, Phoenicoparrus andinus y Phoenicopterus chilenesis, siendo esta última la más abundante y común. Durante los censos desarrollados en 2018 y 2019, en la laguna de Salinas, ubicada en la Reserva Nacional de Salinas y Aguada Blanca en el sur del Perú, se registraron comportamientos atípicos de estas aves en un sector del humedal, se observaron cortejos reproductivos y el asentamiento de colonias de flamencos chilenos. Objetivo: Confirmar y evaluar eventos reproductivos de Phoenicopterus chilenesis mediante la incorporación de un vehículo aéreo no tripulado (UAV) y herramientas de procesamiento de imágenes mediante sistemas de información geográfica. Metodología: Se realizaron censos aéreos durante 2018 y 2019 a colonias reproductivas del P. chilensis, utilizando un UAV Phantom 4 a diferentes alturas de vuelo para evitar la perturbación de las colonias de flamencos. Se realizaron registros de fotografías aéreas y post procesamiento SIG con la creación de imágenes pancromáticas para la identificación y conteo de individuos y huevos automatizada, así como la verificación manual. Resultados: En 2018 se identificaron nidos y la presencia de seis huevos, entre marzo y junio donde el evento fue interrumpido, no se observaron pollos o juveniles durante este periodo. En 2019 la nidificación tuvo éxito, se contabilizó un mayor número de huevos (40-66) con la formación de tres colonias reproductivas de 4 185 individuos adultos, se verificó la presencia de pollos y juveniles que alcanzaron un máximo de 1 491 individuos. Conclusiones: Se confirman dos eventos reproductivos continuos de P. chilensis en la laguna Salinas, durante el 2019 incorporando varios nuevos individuos a la población inicial. La metodología aplicada en el tratamiento de imágenes permitió diferenciar entre individuos adultos y huevos, pero no permitió diferenciar juveniles, aunque las imágenes directamente adquiridas por el UAV permiten diferenciar los tipos de individuos para realizar un conteo manual.
Subject(s)
Animals , Birds , Unmanned Aerial Devices , Peru , Nesting BehaviorABSTRACT
【Objective】 To explore the viability and advantages of drones in blood emergency delivery. 【Methods】 The delivery of emergency blood by drones to the Second People′s Hospital of Yuhang District(referred as Yuhang Hospital) and the Second Affiliated Hospital of Zhejiang University Medical College (referred as Binjiang Hospital) was analyzed retrospectively. The 8: 00-24: 00 traffic condition, at the interval of 2h, of working days were inquired by Baidu Map in order to compare the driving time with drone flight time. The temperature of RBCs and platelets during drone flight were monitored, and take-off and landing temperature were compared. 【Results】 47 deliveries (a total of 192 bags, 295 U) of suspended RBCs and 35 deliveries (a total of 113 bags, 159.5 therapeutic dose) of platelets were, respectively, conducted to Yuhang Hosital and Binjiang Hospital. Two transfer stations for battery charging were needed during the delivery to Yuhang Hospital, and the average one-way time by driving was similar with by drones(50 vs 55 min), without any superiority in time-efficiency. Binjiang Hospital, however, benefited from this drone delivering(driving 10mins vs drone 6 mins). As round-trip delivery for emergency blood was saved, it’s economical for the hospital to get the time-sensitive blood timely. The temperature of suspended RBCs and platelets during flight was between 2.1~7.9 ℃ and 20.2~24.2 ℃, with temperature difference at 0.3~3.7 ℃ and 0.3~3.6℃, respectively. 【Conclusion】 Drones, with good application prospects, can be applied in emergency blood delivery, and further study is needed to improve the time-efficiency and cold chain monitoring system.
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ABSTRACT: Knowledge about the net lactation energy (NLE) contained in the dry matter of grasses is necessary to make decisions about forage and the balance of diets for grazing cattle. Its determination is made in laboratories using wet or dry chemistry methods, which are costly, delayed, and sometimes present sampling- or process-related reliability problems. An algorithm, which analyzes the red-green-blue (RGB) images of grasses taken by drone, has been developed as a technological alternative. This has allowed us estimating the NLE level, reducing costs, and changing the sampling system and analysis method. The objective of the present study was to compare the milk production, which was calculated from the NLE and estimated using the algorithm for analysis of RGB images of grasses (included in the TaurusWebs® software), vs the actual milk production. The study was conducted in 15 dairy farms belonging to the dairy control system of the Colácteos dairy cooperative, which are located in the upper tropical region (Department of Nariño, Colombia). The prairies evaluated were composed of mixtures of Kikuyo (Pennisetum clandestinum), Raigrás (Lolium spp), and False Poa (Holcus lanatus). The result was analyzed using a linear regression model (R²=0.86; R=0.93). In the Student´s t-test, the actual and estimated milk production averages were equal (P>0.05). In conclusion, the NLE calculated using the algorithm satisfactorily explains the study livestock production, and the information generated by the algorithm can be used to calculate the NLE of grasses.
RESUMO: O conhecimento sobre a energia líquida de lactação (NLE) contida na matéria seca das gramíneas é necessário para a tomada de decisões sobre forragem e o equilíbrio das dietas para pastagem. Sua determinação é feita em laboratórios usando métodos de química úmida ou seca, que são dispendiosos, atrasados e às vezes apresentam problemas de confiabilidade relacionados a amostras ou processos. Um algoritmo, que avalia as imagens vermelho-verde-azul (RGB) de gramíneas tiradas por drone, foi desenvolvido como uma alternativa tecnológica. Isso nos permitiu estimar o nível de NLE, reduzir custos e alterar o sistema de amostragem e o método de análise. O objetivo do presente estudo foi comparar a produção de leite, calculada a partir do NLE e estimada usando o algoritmo para análise de imagens RGB de gramíneas (incluídas no software TaurusWebs®) versus a produção real de leite. O estudo foi realizado em 15 fazendas leiteiras pertencentes ao sistema de controle de laticínios da cooperativa de laticínios Colácteos, localizada na região tropical superior (Departamento de Nariño, Colômbia). As pradarias avaliadas foram compostas por misturas de Kikuyo (Pennisetum clandestinum), Raigrás (Lolium spp) e False Poa (Holcus lanatus). O resultado foi analisado usando um modelo de regressão linear (R² = 0,86; R = 0,93). No teste t de Student, as médias reais e estimadas de produção de leite foram iguais (P> 0,05). Em conclusão, o NLE calculado usando o algoritmo explica satisfatoriamente a produção animal estudada, e as informações geradas pelo algoritmo podem ser usadas para calcular o NLE das gramíneas.
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Identification of Chinese medicinal materials is a fundamental part and an important premise of the modern Chinese medicinal materials industry. As for the traditional Chinese medicinal materials that imitate wild cultivation, due to their scattered, irregular, and fine-grained planting characteristics, the fine classification using traditional classification methods is not accurate. Therefore, a deep convolution neural network model is used for imitating wild planting. Identification of Chinese herbal medicines. This study takes Lonicera japonica remote sensing recognition as an example, and proposes a method for fine classification of L. japonica based on a deep convolutional neural network model. The GoogLeNet network model is used to learn a large number of training samples to extract L. japonica characteristics from drone remote sensing images. Parameters, further optimize the network structure, and obtain a L. japonica recognition model. The research results show that the deep convolutional neural network based on GoogLeNet can effectively extract the L. japonica information that is relatively fragmented in the image, and realize the fine classification of L. japonica. After training and optimization, the overall classification accuracy of L. japonica can reach 97.5%, and total area accuracy is 94.6%, which can provide a reference for the application of deep convolutional neural network method in remote sensing classification of Chinese medicinal materials.
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Lonicera , Neural Networks, Computer , Remote Sensing TechnologyABSTRACT
Objective@#To explore the feasibility and advantage of the drones in a county emergency medical service system.@*Methods@#The study was conducted in Changxing County, Zhejiang Province from January to September 2018. The Changxing County People's Hospital and the health centers within its radius of 25 km were included in the study. Three types of indicators were obtained by using commercial drones to transfer simulated first-aid medical supplies from health centers to county people's hospitals: (1)The flight time of the drone; (2) The road traffic time measured by Baidu map and Tencent map software of the above-mentioned route at midnight; (3) The road traffic time measured by Amap software of these routes at 0: 00, 8: 00, 10:00, 12:00, 14:00, 16:00, 18:00, 20:00. The road traffic time at different time points measured by map softwares and drones flight time were compared. Wilcoxon symbolic rank test was used for statistical analysis, and P value of < 0.05 was considered statistically significant.@*Results@#(1) A total of 10 health centers were involved in this study, the air straight-line distance between them and the county people's hospital was (10.97±3.59) km, and the road traffic distance was (13.61±4.95) km. (2) The flight time of drone was (16.35±5.15) min, less than road traffic time measured by Amap, Baidu and Tencent map software, which were (21.40±5.15) min, (22.50±6.11) min, (22.00±5.23) min, respectively (P< 0.01). (3)The road traffic time measured by Amap software was longer than that of drones from 0:00 to 20:00 (P< 0.01), with the maximum time of (27.80±6.12) min at 18:00, and the minimum time of (21.40±5.15) min at midnight. Drones could save up 14.07 min at most and 2.8 min at least, with an average save of (7.98±1.32) min.@*Conclusions@#Drone might be used to transfer first aid medical supplies between health centers in a county area, which is faster than road transportation. It has a better application prospect and is worth to further study.
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Objective To explore the feasibility and advantage of the drones in a county emergency medical service system.Methods The study was conducted in Changxing County,Zhejiang Province from January to September 2018.The Changxing County People's Hospital and the health centers within its radius of 25 km were included in the study.Three types of indicators were obtained by using commercial drones to transfer simulated first-aid medical supplies from health centers to county people's hospitals:(1)The flight time of the drone;(2) The road traffic time measured by Baidu map and Tencent map software of the above-mentioned route at midnight;(3) The road traffic time measured by Amap software of these routes at 0:00,8:00,10:00,12:00,14:00,16:00,18:00,20:00.The road traffic time at different time points measured by map softwares and drones flight time were compared.Wilcoxon symbolic rank test was used for statistical analysis,and P value of ＜ 0.05 was considered statistically significant.Results (1) A total of 10 health centers were involved in this study,the air straight-line distance between them and the county people's hospital was (10.97±3.59) km,and the road traffic distance was (13.61±4.95) km.(2) The flight time of drone was (16.35±5.15) min,less than road traffic time measured by Amap,Baidu and Tencent map software,which were (21.40±5.15) min,(22.50±6.11) min,(22.00±5.23) min,respectively (P＜ 0.01).(3)The road traffic time measured by Amap software was longer than that of drones from 0:00 to 20:00 (P＜ 0.01),with the maximum time of (27.80±6.12) min at 18:00,and the minimum time of (21.40±5.15) min at midnight.Drones could save up 14.07 min at most and 2.8 min at least,with an average save of (7.98±1.32) min.Conclusions Drone might be used to transfer first aid medical supplies between health centers in a county area,which is faster than road transportation.It has a better application prospect and is worth to further study.
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As yet, certain aspects of the Africanization process are not well understood, for example, the reproductive behavior of African and European honeybees and how the first Africanized swarms were formed and spread. Drone congregation areas (DCAs) are the ideal place to study honeybee reproduction under natural conditions since hundreds of drones from various colonies gather together in the same geographical area for mating. In the present study, we assessed the genetic structure of seven drone congregations and four commercial European-derived and Africanized apiaries in southern Brazil, employing seven microsatellite loci for this purpose. We also estimated the number of mother-colonies that drones of a specific DCA originated from. Pairwise comparison failed to reveal any population sub-structuring among the DCAs, thus indicating low mutual genetic differentiation. We also observed high genetic similarity between colonies of commercial apiaries and DCAs, besides a slight contribution from a European-derived apiary to a DCA formed nearby. Africanized DCAs seem to have a somewhat different genetic structure when compared to the European.