Zobrazeno 1 - 10
of 21 880
pro vyhledávání: '"multispectral image"'
Autor:
Youwei Zhang, Dongfang Zhang, Yunfei Zhang, Fengqing Cheng, Xuming Zhao, Min Wang, Xiaofei Fan
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-15 (2024)
Abstract Background As one of the world’s most important vegetable crops, eggplant production is often severely affected by verticillium wilt, leading to significant declines in yield and quality. Traditional multispectral disease-imaging equipment
Externí odkaz:
https://doaj.org/article/e8ea44dfcf6c4352aae637c21c2dc161
Autor:
Emerson Ferreira Vilela, Gabriel Dumbá Monteiro de Castro, Diego Bedin Marin, Charles Cardoso Santana, Daniel Henrique Leite, Christiano de Sousa Machado Matos, Cileimar Aparecida da Silva, Iza Paula de Carvalho Lopes, Daniel Marçal de Queiroz, Rogério Antonio Silva, Giuseppe Rossi, Gianluca Bambi, Leonardo Conti, Madelaine Venzon
Publikováno v:
AgriEngineering, Vol 6, Iss 2, Pp 1697-1711 (2024)
The coffee leaf miner (Leucoptera coffeella) is a key pest in coffee-producing regions in Brazil. The objective of this work was to evaluate the potential of machine learning algorithms to identify coffee leaf miner infestation by considering the ass
Externí odkaz:
https://doaj.org/article/6f16e76da5de4cd2a24dd21e66c0c1a9
Publikováno v:
Laboratory Animal Research, Vol 40, Iss 1, Pp 1-9 (2024)
Abstract Background Immune profiling has become an important tool for identifying predictive, prognostic and response biomarkers for immune checkpoint inhibitors from tumor microenvironment (TME). We aimed to build a multiplex immunofluorescence (mIF
Externí odkaz:
https://doaj.org/article/3b17e624db3f456dafa76575f8f089af
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
Accurate instance segmentation of individual crops is crucial for field management and crop monitoring in smart agriculture. To address the limitations of traditional remote sensing methods in individual crop analysis, this study proposes a novel ins
Externí odkaz:
https://doaj.org/article/e9909e405d564aad9decbba2ce3e1a95
Autor:
Alessandro Biglia, Francesco Gresta, Davide Lucien Patono, Lorenzo Comba, Claudio Lovisolo, Paolo Gay, Andrea Schubert
Publikováno v:
Journal of Agricultural Engineering (2024)
A major issue in several farming areas of the Mediterranean basin consists of drought and salinity stress. This stress is mainly due to a steady exposition of warm daily temperature and heatwaves, moreover with inevitable irrigation with saline water
Externí odkaz:
https://doaj.org/article/67cb273f74cd4d12bc5590df6ca2e0e8
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104104- (2024)
Multispectral remote sensing image-based sea fog detection (SFD) is both important and challenging. Deep learning methods for SFD have become mainstream due to their powerful nonlinear learning capabilities and flexibility. However, existing methods
Externí odkaz:
https://doaj.org/article/55f6546db5e94926adddb84d882af708
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 20129-20149 (2024)
Pansharpening is the process of integrating two heterogeneous remote sensing images to obtain high-resolution multispectral images, which is crucial for downstream tasks. Existing methods utilizing advanced deep-learning techniques are able to achiev
Externí odkaz:
https://doaj.org/article/d937bf2c002746269975952fb01a23c0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18635-18651 (2024)
The rapid increase in satellite imagery from Gaofen satellites has created an urgent need for efficient compression methods. Existing techniques are significantly limited in compression ratio when high reconstruction quality must be preserved, partic
Externí odkaz:
https://doaj.org/article/3b0e8878cc9344b6b3d0377061c96988
Publikováno v:
IEEE Access, Vol 12, Pp 148645-148652 (2024)
Satellite-derived bathymetry (SDB) combining the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) measurements and multispectral images is expected to fill the gap of depth data in global coastal areas. Image radiometric resolution is an importa
Externí odkaz:
https://doaj.org/article/a89072d119d74ae0b76d107c2756c0d2
Publikováno v:
IEEE Access, Vol 12, Pp 130800-130815 (2024)
Driven by abundant satellite imagery, machine learning-based approaches have recently been promoted to generate high-resolution crop cultivation maps to support many agricultural applications. One of the major challenges faced by these approaches is
Externí odkaz:
https://doaj.org/article/fb0fc4041b874332aface1fff50bdd70