Results 11 to 20 of about 15,496 (264)

Vigor evaluation of stored cotton seeds, including the Seed Vigor Imaging System (SVIS®)

Journal of Seed Science
This study aimed at evaluating efficiency of different tests to assess cotton seed vigor during storage, including the SVIS® software. Thereby, five cotton seed lots (cv.
Renata Oliveira Alvarenga, Julio Marcos-Filho   +1 more
doaj   +2 more sources

Automated system of seedling image analysis (SVIS) and electrical conductivity to assess sun hemp seed vigor

Revista Brasileira De Sementes = Brazilian Seed Journal, 2012
The development of new procedures for quickly obtaining accurate information on the physiological potential of seed lots is essential for developing quality control programs for the seed industry.
Julio Marcos-Filho, Roberval D Vieira, Clíssia Barboza da Silva   +2 more
exaly   +2 more sources

Vigor evaluation of stored cotton seeds, including the Seed Vigor Imaging System (SVIS®)

Journal of Seed Science, 2014
This study aimed at evaluating efficiency of different tests to assess cotton seed vigor during storage, including the SVIS® software. Thereby, five cotton seed lots (cv.
Julio Marcos-Filho
exaly   +2 more sources

Use of the software Seed Vigor Imaging System (SVIS®) for assessing vigor of carrot seeds

Scientia Agricola, 2017
Seed vigor has traditionally been evaluated by physiological, biochemical and stress tolerance tests. More recently, with the use of computerized image analysis, objective information has become accessible in a relatively short period of time, with less ...
José Luís de Marchi, Silvio Moure Cicero   +1 more
doaj   +3 more sources

Detection of susceptible Norway spruce to bark beetle attack using PlanetScope multispectral imagery

Frontiers in Forests and Global Change, 2023
Climate change-related acute or long-term drought stress can weaken forest ecosystems and result in widespread bark beetle infestations. Eurasian spruce bark beetle (Ips typographus L.) infestations have been occurring in Norway spruce [Picea abies (L ...
Aleksei Trubin, Giorgi Kozhoridze, Khodabakhsh Zabihi, Roman Modlinger, Vivek Vikram Singh, Peter Surový, Rastislav Jakuš, Rastislav Jakuš   +7 more
doaj   +2 more sources

High-Throughput Analysis of Leaf Chlorophyll Content in Aquaponically Grown Lettuce Using Hyperspectral Reflectance and RGB Images. [PDF]

Plants (Basel)
Chlorophyll content reflects plants’ photosynthetic capacity, growth stage, and nitrogen status and is, therefore, of significant importance in precision agriculture.
Taha MF, Mao H, Wang Y, ElManawy AI, Elmasry G, Wu L, Memon MS, Niu Z, Huang T, Qiu Z.   +9 more
europepmc   +2 more sources

Deep Learning Approach for Classifying the Built Year and Structure of Individual Buildings by Automatically Linking Street View Images and GIS Building Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The built year and structure of individual buildings are crucial factors for estimating and assessing potential earthquake and tsunami damage. Recent advances in sensing and analysis technologies allow the acquisition of high-resolution street view ...
Yoshiki Ogawa, Chenbo Zhao, Takuya Oki, Shenglong Chen, Yoshihide Sekimoto   +4 more
doaj   +2 more sources

A standard procedure for constructing a multi-level social vulnerability index using CLSA and SOS data as working examples. [PDF]

PLoS One
Background The construct of social vulnerability attempts to understand social circumstances not merely as a descriptor, but as a predictor of adverse health events. It can be measured by aggregating social deficits in a social vulnerability index (SVI).
Mah JC, Theou O, Perez-Zepeda MU, Penwarden JL, Godin J, Rockwood K, Andrew MK.   +6 more
europepmc   +2 more sources

Controlled deterioration test and use of the Seed Vigor Imaging System (SVIS ® ) to evaluate the physiological potential of crambe seeds

, 2017
Vigor tests are important tools for verifying the physiological potential of seed lots; however, various aspects can interfere in the consistency of the test results. The search for less subjective procedures has drawn the interest of researchers.
É. F. Leão-Araújo, Juliana Faria dos Santos, C. D. da Silva, J. Marcos-Filho, R. Vieira   +4 more
semanticscholar   +2 more sources

Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and Machine Learning

Remote Sensing
Predicting urban-scale carbon emissions (CEs) is crucial in drawing implications for various urgent environmental issues, including global warming. However, prior studies have overlooked the impact of the micro-level street environment, which might lead ...
Wanqi Shi, Yeyu Xiang, Yuxuan Ying, Yuqin Jiao, Rui Zhao, Waishan Qiu   +5 more
doaj   +2 more sources