The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 844, P. 157071 - 157071
Published: July 4, 2022
Language: Английский
The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 838, P. 155939 - 155939
Published: May 13, 2022
Language: Английский
Citations
174
Agronomy, Journal Year: 2022, Volume and Issue: 12(3), P. 589 - 589
Published: Feb. 26, 2022
Agricultural systems in the EU have become more vulnerable and less sustainable due to an overreliance on herbicides tremendous increase herbicide-resistant weeds. The Green Deal aims reduce use risk of chemical pesticides by 50% 2030, although it is still undefined whether a reduction herbicide could be feasible different farming situations. This review provide holistic framework for crop weed management input ensure protection. Current future dilemmas policies that need handled agroecological transition EU’s agricultural are also discussed. integration non-chemical alternatives integrated includes novel cultivation techniques (e.g., intercropping, false seedbed, reduced tillage, rotation diversification, adjustments sowing densities dates), tools flaming, seed coating, beneficial microorganisms, mechanical weeding, biocontrol agents natural herbicides), competitive plant material (hybrids cultivars, cover crops, service crops), new technologies precision agriculture Decision Support Systems, robots, remote sensing, UAVs, omics nanotechnology). A special focus should appointed agroecology biodiversity conservation.
Language: Английский
Citations
129
Ecological Entomology, Journal Year: 2021, Volume and Issue: 46(4), P. 757 - 771
Published: April 30, 2021
1. Urbanisation is one of the main land‐use changes behind global insect collapse. Despite that previous studies have described negative effects urbanisation on communities, so far there no synthesis considers multiple urban drivers, their combined effects, and role species traits altogether. 2. Here we developed an integrative framework underlying mechanisms terrestrial loss in cities by exploring five leading drivers: impervious surfaces, habitat fragmentation, heat island, pollution, exotic plants. For each driver, identified direct indirect (mediated through interactions or resources) populations emphasising as moderators such effects. 3. Body size, mobility, oviposition/nesting requirements were frequently defined vulnerability to drivers. Urban island pollution deserve further research from a community‐level approach. Direct drivers dominated literature, while most paths mediated resources rather than interactions. 4. In conclusion, our review showed challenges recognising particular for driver By doing so, intended encourage researchers address some gaps noticed order fully understand how affecting communities. Finally, outlined recent planning strategies future successfully conserve biodiversity.
Language: Английский
Citations
127
Remote Sensing, Journal Year: 2021, Volume and Issue: 13(11), P. 2139 - 2139
Published: May 29, 2021
This paper reviewed a set of twenty-one original and innovative papers included in special issue on UAVs for vegetation monitoring, which proposed new methods techniques applied to diverse agricultural forestry scenarios. Three general categories were considered: (1) sensors indices used, (2) technological goals pursued, (3) agroforestry applications. Some investigations focused issues related UAV flight operations, spatial resolution requirements, computation data analytics, while others studied the ability characterizing relevant features (mainly canopy cover crop height) or detecting different plant/crop stressors, such as nutrient content/deficiencies, water needs, weeds, diseases. The goal was proposing UAV-based solutions better use resources more efficient production with economic environmental benefits.
Language: Английский
Citations
113
Machines, Journal Year: 2022, Volume and Issue: 10(10), P. 913 - 913
Published: Oct. 9, 2022
In recent years, with the rapid development of science and technology, agricultural robots have gradually begun to replace humans, complete various operations, changing traditional production methods. Not only is labor input reduced, but also efficiency can be improved, which invariably contributes smart agriculture. This paper reviews core technologies used for in non-structural environments. addition, we review technological progress drive systems, control strategies, end-effectors, robotic arms, environmental perception, other related systems. research shows that a non-structured environment, using cameras light detection ranging (LiDAR), as well ultrasonic satellite navigation equipment, by integrating sensing, transmission, control, operation, different types actuators innovatively designed developed advance robots, meet delicate complex requirements products operational objects, such better productivity standardization agriculture achieved. summary, developing toward data-driven, standardized, unmanned approach, supported actuator-driven-based robots. concludes summary main existing challenges applications outlook regarding primary directions near future.
Language: Английский
Citations
105
Remote Sensing, Journal Year: 2021, Volume and Issue: 13(8), P. 1562 - 1562
Published: April 17, 2021
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important monitoring technology for the soil moisture content (SMC) of agroecological systems in arid regions. This develops precision farming and agricultural informatization. However, data are generally used mining. In this study, UAV-based imaging with a resolution o 4 cm totaling 70 samples (0–10 cm) were collected from farmland (2.5 × 104 m2) near Fukang City, Xinjiang Uygur Autonomous Region, China. Four estimation strategies tested: original image (strategy I), first- second-order derivative methods II), fractional-order (FOD) technique III), optimal fractional order combined multiband indices IV). These based on eXtreme Gradient Boost (XGBoost) algorithm, aim building best model SMC The results demonstrated that FOD could effectively mine information (with absolute maximum correlation coefficient 0.768). By comparison, strategy IV yielded estimates out tested (R2val = 0.921, RMSEP 1.943, RPD 2.736) SMC. derived 0.4 within worked relatively well among different I, II, III). conclusion, combination generated highly accurate XGBoost algorithm estimation. research provided promising mining approach data.
Language: Английский
Citations
104
Advances in agronomy, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 59
Published: Jan. 1, 2023
Language: Английский
Citations
69
Remote Sensing, Journal Year: 2023, Volume and Issue: 15(3), P. 639 - 639
Published: Jan. 21, 2023
Grasslands are one of the world’s largest ecosystems, accounting for 30% total terrestrial biomass. Considering that aboveground biomass (AGB) is most essential ecosystem services in grasslands, an accurate and faster method estimating AGB critical managing, protecting, promoting sustainability. Unmanned aerial vehicles (UAVs) have emerged as a useful practical tool achieving this goal. Here, we review recent research studies employ UAVs to estimate grassland ecosystems. We summarize different methods establish comprehensive workflow, from data collection field processing. For purpose, 64 articles were reviewed, focusing on several features including study site, species composition, UAV platforms, flight parameters, sensors, measurement, indices, processing, analysis methods. The results demonstrate there has been increase scientific evaluating use estimation grasslands during period 2018–2022. Most carried out three countries (Germany, China, USA), which indicates urgent need other locations where ecosystems abundant. found RGB imaging was commonly used suitable at moment, terms cost–benefit processing simplicity. In 50% studies, least vegetation index AGB; Normalized Difference Vegetation Index (NDVI) common. popular linear regression, partial squares regression (PLSR), random forest. Studies spectral structural showed models incorporating both types outperformed utilizing only one. also observed limited spatially temporally. example, small number papers conducted over years multiple places, suggesting protocols not transferable time points. Despite these limitations, light rapid advances, anticipate will continue improving may become commercialized farming applications near future.
Language: Английский
Citations
44
Remote Sensing, Journal Year: 2022, Volume and Issue: 14(5), P. 1096 - 1096
Published: Feb. 23, 2022
In recent years, the application of unmanned aerial vehicle (UAV) remote sensing in grassland ecosystem monitoring has increased, and directions have diversified. However, there been few research reviews specifically for ecosystems at present. Therefore, it is necessary to systematically comprehensively summarize UAV monitoring. this paper, we first analyzed trend introduced common platforms sensors. Then, scenarios were reviewed from five aspects: vegetation monitoring, animal surveys, soil physical chemical degradation environmental disturbance Finally, current limitations future development summarized. The results will be helpful improve understanding provide a scientific reference ecological research.
Language: Английский
Citations
60
Ecology and Evolution, Journal Year: 2021, Volume and Issue: 11(12), P. 8254 - 8263
Published: May 18, 2021
Abstract Animal movement studies are conducted to monitor ecosystem health, understand ecological dynamics, and address management conservation questions. In marine environments, traditional sampling monitoring methods measure animal invasive, labor intensive, costly, limited in the number of individuals that can be feasibly tracked. Automated detection tracking small‐scale movements many animals through cameras possible but largely untested field conditions, hampering applications Here, we aimed test ability an automated object pipeline track videos. We applied fish characterize behavior. a common fisheries species (yellowfin bream, Acanthopagrus australis) along known passageway from underwater then tracked with three types algorithms (MOSSE, Seq‐NMS, SiamMask) evaluated their accuracy at characterizing movement. successfully detected yellowfin bream multispecies assemblage (F1 score =91%). At least 120 169 individual present videos were correctly identified The accuracies among architectures varied, MOSSE SiamMask achieving 78% Seq‐NMS 84%. By employing this integrated pipeline, demonstrated noninvasive reliable approach studying behavior by under conditions. These cost‐effective technologies provide means for future scale‐up analysis across visual systems.
Language: Английский
Citations
59