Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Federico Tomasetto"'
Publikováno v:
Plant Phenomics, Vol 5 (2023)
The development of unmanned aerial vehicle (UAV) remote sensing has been increasingly applied in forestry for high-throughput and rapid acquisition of tree phenomics traits for various research areas. However, the detection of individual trees and th
Externí odkaz:
https://doaj.org/article/1a279d3aa80344e59716744bb4e30db3
Publikováno v:
Plant Phenomics, Vol 5 (2023)
The density of new shoots on pine trees is an important indicator of their growth and photosynthetic capacity. However, traditional methods to monitor new shoot density rely on manual and destructive measurements, which are labor-intensive and have l
Externí odkaz:
https://doaj.org/article/0718708015db40e0a93e174ca61cc599
Publikováno v:
Plant Phenomics, Vol 2022 (2022)
Traditional methods used to monitor the aboveground biomass (AGB) and belowground biomass (BGB) of slash pine (Pinus elliottii) rely on on-ground measurements, which are time- and cost-consuming and suited only for small spatial scales. In this paper
Externí odkaz:
https://doaj.org/article/3d0df0938e0f4837bd8552e2dfd2eedd
Publikováno v:
Plant Phenomics, Vol 2022 (2022)
The internal cycling of nitrogen (N) storage and consumption in trees is an important physiological mechanism associated with tree growth. Here, we examined the capability of near-infrared spectroscopy (NIR) to quantify the N concentration across tis
Externí odkaz:
https://doaj.org/article/8aecf5248eb44922a2a45f843081916e
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
Drought is a climatic event that considerably impacts plant growth, reproduction and productivity. Toona sinensis is a tree species with high economic, edible and medicinal value, and has drought resistance. Thus, the objective of this study was to d
Externí odkaz:
https://doaj.org/article/6d157dfcef5f4b2b8919ffba3afdba2a
Publikováno v:
Agriculture, Vol 11, Iss 11, p 1126 (2021)
The identification of light stress is crucial for light control in plant factories. Image-based lighting classification of leafy vegetables has exhibited remarkable performance with high convenience and economy. Convolutional Neural Network (CNN) has
Externí odkaz:
https://doaj.org/article/6c0bf8ac33c444ad9399cbaa3fd3cd8b
Publikováno v:
Frontiers in Ecology and Evolution, Vol 6 (2018)
Sustainable and integrated pest management often involves insect parasitoids. However, the effectiveness of parasitoids biocontrol has often failed, frequently for obscure reasons. A parasitoid's success is partly due to its behavioral response to pe
Externí odkaz:
https://doaj.org/article/cf08a2dfab854d75bfe722c0056575ae
Publikováno v:
Frontiers in Plant Science, Vol 7 (2016)
Field parasitism rates of the Argentine stem weevil Listronotus bonariensis (Kuschel) (Coleoptera: Curculionidae) by Microctonus hyperodae Loan (Hymenoptera: Braconidae) are known to vary according to different host Lolium species that also differ in
Externí odkaz:
https://doaj.org/article/bd1585d6983042c2a887f5a0400573fb
Autor:
Wenjian, Liu, Yanjie, Li, Federico, Tomasetto, Weiqi, Yan, Zifeng, Tan, Jun, Liu, Jingmin, Jiang
Publikováno v:
Frontiers in Plant Science
Drought is a climatic event that considerably impacts plant growth, reproduction and productivity. Toona sinensis is a tree species with high economic, edible and medicinal value, and has drought resistance. Thus, the objective of this study was to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5d631f2f11d8af29031bef41db051843
https://pubmed.ncbi.nlm.nih.gov/35126433
https://pubmed.ncbi.nlm.nih.gov/35126433
Publikováno v:
Plant Phenomics
Plant Phenomics, Vol 2022 (2022)
Plant Phenomics, Vol 2022 (2022)
The internal cycling of nitrogen (N) storage and consumption in trees is an important physiological mechanism associated with tree growth. Here, we examined the capability of near-infrared spectroscopy (NIR) to quantify the N concentration across tis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::715d064c0ce996257debb03e55f4c235
https://pubmed.ncbi.nlm.nih.gov/35112084
https://pubmed.ncbi.nlm.nih.gov/35112084