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1. A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery

Author:
L.G. Divyanth; Aanis Ahmad; Dharmendra Saraswat
Source:
Smart agricultural technology 2023 v.3 pp. 100108
ISSN:
2772-3755
Subject:
leaf area,   etc   ; corn; data collection; disease control; leaf blight; leaf spot; management systems; models; technology;     Show all 9 Subjects
Abstract:
... It is important to develop accurate disease management systems to identify and segment corn disease lesions and estimate their severity under complex field conditions. Although deep learning techniques are becoming increasingly popular to identify singular diseases, access to robust models for identifying multiple diseases and segmenting lesion areas for severity estimation under field conditions ...
DOI:
10.1016/j.atech.2022.100108

2. Comparative profiling of polyphenols and antioxidants and analysis of antiglycation activities in rapeseed (Brassica napus L.) under different moisture regimes

Author:
Maryam Salami; Bahram Heidari; Helin Tan
Source:
Food chemistry 2023 v.399 pp. 133946
ISSN:
0308-8146
Subject:
leaf area,   etc   ; Brassica napus; antioxidants; carotenoids; drought; epicatechin; field capacity; flowers; food chemistry; genotype; leaves; polyphenols; rapeseed;     Show all 13 Subjects
Abstract:
... Genotype, growth stages, and moisture regimes affect polyphenols as beneficial compounds in rapeseed with edible and medicinal properties. The aims of this study were to assess the effects of tissue, genotype background and moisture on growth, pigment composition, phenolic acids, flavonoids, antioxidant, and antiglycation activities in rapeseed. Treatments included two moisture regimes (10% field ...
DOI:
10.1016/j.foodchem.2022.133946

3. Prediction of morpho-physiological traits in sugarcane using aerial imagery and machine learning

Author:
Chiranjibi Poudyal; Hardev Sandhu; Yiannis Ampatzidis; Dennis Calvin Odero; Orlando Coto Arbelo; Ronald H. Cherry; Lucas Fideles Costa
Source:
Smart agricultural technology 2023 v.3 pp. 100104
ISSN:
2772-3755
Subject:
leaf area index,   etc   ; Saccharum; cultivars; models; plant analysis; plant height; prediction; regression analysis; remote sensing; soil; sugarcane; Florida;     Show all 12 Subjects
Abstract:
... Changes in morpho-physiological traits are important for biotic or abiotic stresses in sugarcane (Saccharum spp. interspecific hybrids). Ground measurements of such traits are labor-intensive and time-consuming. Therefore, predicting them using aerial imagery can be important for detecting stress and timely management. In this study, ground data and aerial imagery were collected from plant cane an ...
DOI:
10.1016/j.atech.2022.100104
CHORUS:
10.1016/j.atech.2022.100104

4. Effect of layer thickness and voxel size inversion on leaf area density based on the voxel-based canopy profiling method

Author:
Yan Chen; Jian Liu; Xiong Yao; Yangbo Deng; Zhenbang Hao; Lingchen Lin; Nankun Wu; Kunyong Yu
Source:
Journal of forestry research 2022 v.33 no.5 pp. 1545-1558
ISSN:
1007-662X
Subject:
leaf area; leaf area index,   etc   ; Pinus massoniana; canopy; data collection; forestry; lidar; research; China;     Show all 9 Subjects
Abstract:
... Voxel-based canopy profiling is commonly used to determine small-scale leaf area. Layer thickness and voxel size impact accuracy when using this method. Here, we determined the optimal combination of layer thickness and voxel size to estimate leaf area density accurately. Terrestrial LiDAR Stonex X300 was used to generate point cloud data for Masson pines (Pinus massoniana). The canopy layer was s ...
DOI:
10.1007/s11676-021-01440-7

5. Bases for pesticide dose expression and adjustment in 3D crops and comparison of decision support systems

Author:
Santiago Planas; Carla Román; Ricardo Sanz; Joan Ramon Rosell-Polo
Source:
Science of the total environment 2022 v.806 pp. 150357
ISSN:
0048-9697
Subject:
leaf area; leaf area index,   etc   ; environment; fruits; grapes; leaves; models; pesticides; plant protection; sprayers; trees;     Show all 11 Subjects
Abstract:
... Authorities around the world have committed to limiting the use of chemical pesticides by reducing doses, among other strategies. Nevertheless, different dose expression models and decision support systems (DSSs) for dose adjustment coexist for high growing crops (3D crops). Among them, leaf wall area (LWA) and tree row volume (TRV) models have recently been proposed by the European and Mediterran ...
DOI:
10.1016/j.scitotenv.2021.150357

6. Non-destructive Leaf Area Index estimation via guided optical imaging for large scale greenhouse environments

Author:
Stefan Baar; Yosuke Kobayashi; Tatsuro Horie; Kazuhiko Sato; Hidetsugu Suto; Shinya Watanabe
Source:
Computers and electronics in agriculture 2022 v.197 pp. 106911
ISSN:
0168-1699
Subject:
leaf area; leaf area index,   etc   ; agriculture; cameras; canopy; electronics; greenhouses; image analysis; plant health; tomatoes;     Show all 10 Subjects
Abstract:
... This paper presents a financially viable and non-destructive rail-based video monitoring method that utilizes optical image segmentation to estimate the canopy leaf area index (LAI) of greenhouse tomato plants. The LAI is directly related to the time-dependent crop growth and indicates plant health and potential crop yields. A rail-guided mobile camera system was commissioned that records continuo ...
DOI:
10.1016/j.compag.2022.106911

7. Photosynthetic capacity dominates the interannual variation of annual gross primary productivity in the Northern Hemisphere

Author:
Weikang Zhang; Guirui Yu; Zhi Chen; Xianjin Zhu; Lang Han; Zhaogang Liu; Yong Lin; Shijie Han; Liqing Sha; Huimin Wang; Yanfen Wang; Junhua Yan; Yiping Zhang; Mana Gharun
Source:
Science of the total environment 2022 v.849 pp. 157856
ISSN:
0048-9697
Subject:
leaf area; leaf area index,   etc   ; carbon; climate change; eddy covariance; gross primary productivity; phenology; photosynthesis; temperature;     Show all 9 Subjects
Abstract:
... Annual gross primary productivity (AGPP) of terrestrial ecosystems is the largest carbon flux component in ecosystems; however, it's unclear whether photosynthetic capacity or phenology dominates interannual variation of AGPP, and a better understanding of this could contribute to estimation of carbon sinks and their interactions with climate change. In this study, observed GPP data of 494 site-ye ...
DOI:
10.1016/j.scitotenv.2022.157856

8. Utkin et al.'s dataset on specific leaf area

Author:
Anatoly Utkin; Lyudmila Ermolova; Irina Utkina; Natalia Dulepova; Sergey Rosbakh
Source:
Ecology 2022 v.103 no.7 pp. e3714
ISSN:
0012-9658
Subject:
leaf area; specific leaf area,   etc   ; Gymnospermae; Russia; data collection; ecology; forests; geographical distribution; lighting; people; plant growth;     Show all 11 Subjects
Abstract:
... Specific leaf area (SLA; one‐sided leaf area per unit of dry mass) is a key trait indicating plant growth strategy and its responses to changing environments. Despite its high relevance for ecological research and recent efforts to mobilize the trait data, information on SLA in many plant lineages and biogeographic regions is still underrepresented. To assist in closing this gap, we translated and ...
DOI:
10.1002/ecy.3714

9. Different Taxonomic and Functional Indices Complement the Understanding of Herb-Layer Community Assembly Patterns in a Southern-Limit Temperate Forest

Author:
Mercedes Valerio; Antonio Gazol; Javier Puy; Ricardo Ibáñez
Source:
Forests 2022 v.13 no.9 pp. -
ISSN:
1999-4907
Subject:
leaf area; specific leaf area,   etc   ; global change; leaf dry matter content; plant communities; plant height; temperate forests; Spain;     Show all 8 Subjects
Abstract:
... The efficient conservation of vulnerable ecosystems in the face of global change requires a complete understanding of how plant communities respond to various environmental factors. We aim to demonstrate that a combined use of different approaches, traits, and indices representing each of the taxonomic and functional characteristics of plant communities will give complementary information on the f ...
DOI:
10.3390/f13091434

10. Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery

Author:
Shuang Wu; Lei Deng; Lijie Guo; Yanjie Wu
Source:
Plant methods 2022 v.18 no.1 pp. 68
ISSN:
1746-4811
Subject:
leaf area; leaf area index,   etc   ; cameras; canopy; prediction; regression analysis; soil; support vector machines; surface area; vegetation; wheat;     Show all 11 Subjects
Abstract:
... BACKGROUND: Leaf Area Index (LAI) is half of the amount of leaf area per unit horizontal ground surface area. Consequently, accurate vegetation extraction in remote sensing imagery is critical for LAI estimation. However, most studies do not fully exploit the advantages of Unmanned Aerial Vehicle (UAV) imagery with high spatial resolution, such as not removing the background (soil and shadow, etc. ...
DOI:
10.1186/s13007-022-00899-7

11. Linking leaf traits to the temporal stability of above- and belowground productivity under global change and land use scenarios in a semi-arid grassland of Inner Mongolia

Author:
Fengwei Xu; Jianjun Li; Liji Wu; Jishuai Su; Yang Wang; Dima Chen; Yongfei Bai
Source:
Science of the total environment 2022 v.818 pp. 151858
ISSN:
0048-9697
Subject:
leaf area; specific leaf area,   etc   ; functional diversity; global change; grasslands; land use; leaves; nitrogen; primary productivity; soil; China;     Show all 11 Subjects
Abstract:
... The biotic drivers for the temporal stability of aboveground net productivity (ANPP) in natural ecosystems are well understood. However, knowledge gaps still exist regarding the relative importance of biotic and abiotic drivers regulating the temporal stability of aboveground productivity (ANPP), belowground net productivity (BNPP), and community net productivity (NPP) under global change and land ...
DOI:
10.1016/j.scitotenv.2021.151858

12. Integrating Tree Species Identity and Diversity in Particulate Matter Adsorption

Author:
Matthias Steinparzer; Daniela Haluza; Douglas L. Godbold
Source:
Forests 2022 v.13 no.3 pp. -
ISSN:
1999-4907
Subject:
leaf area; leaf area index,   etc   ; Acer platanoides; Carpinus betulus; Quercus robur; Tilia cordata; adsorption; canopy; fractionation; leaves; particulates; trees;     Show all 12 Subjects
Abstract:
... The amount of PM bound by tree canopies depends on leaf traits, but also the leaf area available, both of which are dependent on tree identity. We investigated four species (Acer platanoides L., Tilia cordata Mill., Quercus robur L., Carpinus betulus L.) grown in monocultures and in two and four species polycultures. The amount of PM on the leaves of these species was determined by washing and fra ...
DOI:
10.3390/f13030481

13. New data of plant leaf traits from Central Europe

Author:
Andrea McIntosh-Buday; Judit Sonkoly; Attila Takács; Nóra Balogh; Gergely Kovacsics-Vári; Balázs Teleki; Kristóf Süveges; Katalin Tóth; Alida Anna Hábenczyus; Balázs A. Lukács; Ádám Lovas-Kiss; Viktor Löki; Alexandra Tomasovszky; Béla Tóthmérész; Péter Török; Edina Tóth
Source:
Data in Brief 2022 v.42 pp. 108286
ISSN:
2352-3409
Subject:
leaf area; specific leaf area,   etc   ; flora; labor; leaf dry matter content; leaves; loess; sand; species diversity; Central European region;     Show all 10 Subjects
Abstract:
... Trait-based ecology is gaining ground nowadays on species-based ecology: the number of research and publication focusing on the ecological role of taxa instead of the species themselves increased significantly in the last two decades. One great advantage of this approach is that communities with different species composition due to great geographical distances (e.g., different continents) or diffe ...
DOI:
10.1016/j.dib.2022.108286

14. Shading Gradients Drive Differential Responses of Leaf Traits in an Early Community Germinated by Forest Topsoil

Author:
Fajun Chen; Gaojuan Zhao; Youxin Shen; Zhenjiang Li; Beilin Tan; Hong Zhu; Qinghe Wang; Xun Fu
Source:
Diversity 2022 v.14 no.8 pp. -
ISSN:
1424-2818
Subject:
leaf area; specific leaf area,   etc   ; chlorophyll; forest restoration; forests; habitat conservation; intraspecific variation; leaves; plant adaptation; seedlings; topsoil; trees;     Show all 12 Subjects
Abstract:
... Seedling performance in the early stage is crucial to natural forest restoration, and functional traits have been widely employed in exploring plant adaptation under field conditions. However, the responses and variabilities of leaf traits have not been clearly defined at the light gradients that are used in restoration practices. We evaluated the variation in leaf treats in species and community ...
DOI:
10.3390/d14080600

15. Species-based indicators to assess habitat degradation: Comparing the conceptual, methodological, and ecological relationships between hemeroby and naturalness values

Author:
László Erdős; Ákos Bede-Fazekas; Zoltán Bátori; Christian Berg; György Kröel-Dulay; Martin Magnes; Philipp Sengl; Csaba Tölgyesi; Péter Török; Jack Zinnen
Source:
Ecological indicators 2022 v.136 pp. 108707
ISSN:
1470-160X
Subject:
leaf area; specific leaf area,   etc   ; dry matter content; habitat destruction; humans; indigenous species; introduced species; simple leaves; vegetation; Europe;     Show all 10 Subjects
Abstract:
... Naturalness and hemeroby indicator values are specialized species-based indicators used in Continental Europe that reflect plant species’ affinity to degraded habitats. Despite their potential utility for basic and applied science, their similarities have gone unnoticed, and they have yet to be studied together. Here, we combine literature review and novel data analyses to ask 1) How are the natur ...
DOI:
10.1016/j.ecolind.2022.108707

16. Close‐spaced plant arrangement optimizes castor biomass and seed yields in tropical fall–winter conditions

Author:
Tailene E. Kotz‐Gurgacz; Rogério P. Soratto; Fernando V. C. Guidorizzi; Amanda P. Gilabel; Emerson F. C. Souza
Source:
Crop science 2022 v.62 no.3 pp. 1305-1317
ISSN:
0011-183X
Subject:
leaf area; leaf area index,   etc   ; Ricinus communis; biomass production; cultivars; harvest index; leaves; plant density; plant growth; seed yield; Brazil;     Show all 11 Subjects
Abstract:
... The high seed yield and optimum harvesting of short‐height castor (Ricinus communis L.) genotypes have enabled its large‐scale cultivation and introduction in the Brazilian cropping systems. Thus, studies to optimize plant density are essential to adequate plant population since this is the key management to influence castor biomass and seed production. This study aimed to evaluate the influence o ...
DOI:
10.1002/csc2.20708

17. PM2.5 reduction capacities and their relation to morphological and physiological traits in 13 landscaping tree species

Author:
Kunhyo Kim; Jihyeon Jeon; Heejin Jung; Tae Kyung Kim; Jeonghyun Hong; Gi-Seong Jeon; Hyun Seok Kim
Source:
Urban forestry & urban greening 2022 v.70 pp. 127526
ISSN:
1618-8667
Subject:
leaf area; specific leaf area,   etc   ; Ginkgo biloba; Pinus strobus; adsorption; carboxylation; human health; humans; particulates; photosynthesis; transportation; trees; urban forestry;     Show all 13 Subjects
Abstract:
... Fine particulate matter (PM₂.₅) is emerging as a serious environmental problem worldwide with the increase in anthropogenic emission sources, such as fossil fuels, transportation, and industries. In urban areas, where industrial complexes and human activities are concentrated, PM₂.₅ poses a threat to human health. Recently, because of their ability to reduce PM₂.₅, the introduction of landscaping ...
DOI:
10.1016/j.ufug.2022.127526

18. Species‐level CWM values mask contrasting intra‐ versus interspecific trait shifts at subtropical forest edges

Author:
Shilu Zheng; Raphael K. Didham; Mingjian Yu; Bruce L. Webber
Source:
Ecography 2022 v.2022 no.5 pp. e05837
ISSN:
0906-7590
Subject:
leaf area; specific leaf area,   etc   ; chlorophyll; covariance; edge effects; global change; lakes; leaf dry matter content; leaves; microclimate; tropical forests;     Show all 11 Subjects
Abstract:
... Altered microclimatic conditions and higher disturbance at forest edges create environmental stress and modify resource gradients from edge to interior, changing the selection pressures acting on individuals. Although community‐weighted trait‐mean (CWM) shifts along edge gradients have been widely documented at the species level, it is unclear how edge effects act at the individual level, and whet ...
DOI:
10.1111/ecog.05837

19. Assessment of genetic variability, character association and path analysis of kernel yield and yield components in groundnut (Arachis hypogaea L.)

Author:
S. Sridevi; B. Meenakumari; N. Manivannan; V. Ravichandran
Source:
Electronic journal of plant breeding 2022 v.13 no.2 pp. 476-481
ISSN:
0975-928X
Subject:
leaf area; leaf area index,   etc   ; Arachis hypogaea; agricultural colleges; biomass; genetic improvement; genetic variation; heritability; path analysis; peanuts; seeds; India;     Show all 12 Subjects
Abstract:
... The present study was carried out in the Department of Oilseeds, during rabi, 2021 at Tamil Nadu Agricultural University, Coimbatore to study the genetic variability, correlation and path analysis using thirty promising genotypes of groundnut. Kernel yield and its component characters were recorded. The magnitude of PCV and GCV values were higher for the characters viz., number of branches, total ...
DOI:
10.37992/2022.1302.096

20. Feasibility of yield estimation based on leaf area dynamics measurements in rice paddy fields of farmers

Author:
Naoyuki Hashimoto; Yuki Saito; Shuhei Yamamoto; Taro Ishibashi; Ruito Ito; Masayasu Maki; Koki Homma
Source:
Field crops research 2022 v.286 pp. 108609
ISSN:
0378-4290
Subject:
leaf area; leaf area index,   etc   ; chlorophyll; crop management; paddies; radiation use efficiency; research; rice; solar radiation; surveys; time series analysis;     Show all 11 Subjects
Abstract:
... Rice yield is an important factor for farmers when reviewing crop management planning and cultivation operations. In previous studies, a non-destructive, labor-saving method has been proposed to determine yield using spectral information from remote sensing. This method assumes that molecule number (e.g., chlorophyll content in leaves) and biophysical information (e.g., leaf area) cause spectral v ...
DOI:
10.1016/j.fcr.2022.108609