Related Papers
Image analysis techniques applied to canopies, berries, plant tissues and leaves
Roberta De Bei
Digital leaf area measurement and its application in practice
József Berke
Evaluation and processing of experiments became more simple and accurate by using digital technology and the Internet. The subject of our study was to compare analogue (printed methods and LI-COR LI-3000A) and digital Ieaf area measurement methods (using Canon EOS 10D and lD Mark III digital cameras, Hewlett-Packard HP4670c scanner and Sony Ericsson K750i mobile phone) using reference areas and leaf areas of 20 plants (agronomic and horticultural crops). Our results showed that digital methods proved to be useful and accurate during the data processing of experiments. Apart from the advantages, several sampling and surveying methods should be also considered. Advantages and disadvantages of analogue and digital leaf area meas-urement methodologies are summarized in our present paper.
Two new Methods for the Estimation of Leaf Area using Digital Photography
Ali Soto
Plant Image Analysis
2014 •
Yasuomi Ibaraki
HortScience
Digital Image Processing for Non-Destructive Measures of Woody Shrubs
Ann Hild
For multi-stemmed shrubs, especially those with fine foliage, obtaining measures of leaf area or density of foliage and twigs within the crown may be both difficult and time-consuming. However, this measure may be an indication of the ornamental quality of a species. A method of photographic analysis was developed to perform repeated measures within the crown of woody shrubs. Slides of 5 species of arid land woody shrubs were analyzed by use of a Visual Image Processor system. This digital imaging technique may be applied where comparative measures over time for individual plants is useful. Comparisons were made of slides taken in the fall of 1989 and the spring and fall of 1990. The use Of slides limited handling or removal of any portion of the plants. Initial care in slide production and continuity of photographic techniques permits consistent results between measurement dates. This computerized method al lows comparative analysis of the growth and “fullness” of plant crowns.
Biosystems Engineering
A digital image-processing-based method for determining the crop coefficient of lettuce crops inthe southeast of Spain
2014 •
Antonio Canales
Processamento de imagens de veículos aéreos não tripulados para estudos da vegetação
2012 •
Inti Luna
Mestrado em Estudos AmbientaisO objetivo principal desta tese de mestrado foi avaliar as aplicações ambientais e agrícolas de imagens obtidas com veículos aéreos não-tripulados (VANT) para estudar a vegetação e para avaliar o processamento de imagens envolvido, a fim de obter informação útel e compatível com outro tipo de geo-dados. Imagens dos veículos aéreos não tripulados foram processadas em três diferentes casos de estudo individualmente descritos e analisados com uma estreita relação entre si. (1) mapeamento da cobertura vegetal em um campo de cultivo de cana de açúcar na Nicarágua mostrou a extração operacional e eficaz de geoinformação para a gestão espacial otimizada com fotografia digital simples, mas também colocou em evidência os limites dos sensores sem a banda do infravermelho próximo e a preocupação de chegar a ter uma correção geométrica precisa, em terrenos acidentado. O aspecto particular da correção geométrica, que é fundamental para garantir a ligação confiável e...
Southeast Europe journal of soft computing
Leaf Area Assessment By Image Analysis
2012 •
Betul Cicek Akcesme
Transactions of the ASAE
Measurement and Simulation of Potato Leaf Area Using Image Processing. I. Model Development
1992 •
Todd Trooien
Automated Canopy Delineation and Size Metrics Extraction for Strawberry Dry Weight Modeling Using Raster Analysis of High-Resolution Imagery
Amr Abdelrahman
Capturing high spatial resolution imagery is becoming a standard operation in many agricultural applications. The increased capacity for image capture necessitates corresponding advances in analysis algorithms. This study introduces automated raster geoprocessing methods to automatically extract strawberry (Fragaria × ananassa) canopy size metrics using raster image analysis and utilize the extracted metrics in statistical modeling of strawberry dry weight. Automated canopy delineation and canopy size metrics extraction models were developed and implemented using ArcMap software v 10.7 and made available by the authors. The workflows were demonstrated using high spatial resolution (1 mm resolution) orthoimages and digital surface models (2 mm) of 34 strawberry plots (each containing 17 different plant genotypes) planted on raised beds. The images were captured on a weekly basis throughout the strawberry growing season (16 weeks) between early November and late February. The results of extracting four canopy size metrics (area, volume, average height, and height standard deviation) using automatically delineated and visually interpreted canopies were compared. The trends observed in the differences between canopy metrics extracted using the automatically delineated and visually interpreted canopies showed no significant differences. The R 2 values of the models were 0.77 and 0.76 for the two datasets and the leave-one-out (LOO) cross validation root mean square error (RMSE) of the two models were 9.2 g and 9.4 g, respectively. The results show the feasibility of using automated methods for canopy delineation and canopy metric extraction to support plant phenotyping applications.
