A Simple, Cost-Effective Method for Leaf Area Estimation

Pandey, Santosh Kumar; Singh, H. K.

doi:10.1155/2011/658240

Cited by 183 publications

(132 citation statements)

References 30 publications

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“…Moreover, the MRE between the observed and estimated LA was 8.2%, corresponding to a MAE of 31.71 cm 2 and RMSE of 40.20 cm 2 , thus supporting the good performance of the model. [19], although a lower number of observations were used.…”

Section: Resultssupporting

confidence: 55%

“…When the observed stem LA values obtained by the non-destructive image processing method were plotted against the LA values estimated by the model (Figure 4), the slope was very close to one (0.99) and the coefficient of determination was 94%, showing that the model produced stem LA values with high accuracy and precision at different plant development stages. Moreover, the MRE between the observed and estimated LA was 8.2%, corresponding to a MAE of 31.71 cm 2 and RMSE of 40.20 cm 2 , thus supporting the good performance of the model. When applying the model to a dataset of three independent observations (external validation), a value of 50.7 cm 2 and 41.3 cm 2 were obtained for RSME and MAE, respectively.…”

Section: Resultssupporting

confidence: 55%

“…Therefore, accurate and prompt determination of this parameter is of great importance. Radiation and photosynthetic efficiency, crop transpiration, crop water use, and nutrient use are some of the processes impacted by the LA of a crop [1,2].…”

Section: Introductionmentioning

confidence: 99%

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Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

2016

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Non-destructive, accurate, user-friendly and low-cost approaches to determining crop leaf area (LA) are a key tool in many agronomic and physiological studies, as well as in current agricultural management. Although there are models that estimate cut rose LA in the literature, they are generally designed for a specific stage of the crop cycle, usually harvest. This study aimed to estimate the LA of cut "Red Naomi" rose stems in several phenological phases using morphological descriptors and allometric measurements derived from image processing. A statistical model was developed based on the "multiple stepwise regression" technique and considered the stem height, the number of stem leaves, and the stage of the flower bud. The model, based on 26 stems (232 leaves) collected at different developmental stages, explained 95% of the LA variance (R 2 = 0.95, n = 26, p < 0.0001). The mean relative difference between the observed and the estimated LA was 8.2%. The methodology had a high accuracy and precision in the estimation of LA during crop development. It can save time, effort, and resources in determining cut rose stem LA, enhancing its application in research and production contexts.

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Section: Resultssupporting

confidence: 55%

Section: Resultssupporting

confidence: 55%

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Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

2016

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“…Only undamaged inner leaves of the lettuce were taken, and the swabs were taken before and after the washing of the lettuce leaves. The samples' weight and planimetric measurement were then determined (28). The standard testing method was used for the experiment.…”

Section: Methodsmentioning

confidence: 99%

The Microbiological Status of (Ready to Eat) Lettuce Before and After Standard Washing

Topalic

Savić

Kovačević

et al. 2014

GHTERS

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Lettuce is a vegetable that is always consumed raw. The number and types of microorganisms that may be found on the lettuce leaves depend on growing, harvesting, and particularly on handling practices, like proper washing and preparing lettuce before eating. The aim of this study was to investigate the effect that washing under running water has on the microbiological status of lettuce leaves purchased from the local market place in Banja Luka. Smears were taken from the obverse and reverse sides of lettuce leaves, and the total count of aerobic mesophilic bacteria, yeasts and molds was determined as well as the presence of sulphite-reducing clostridia, the coagulase positive staphylococci, Salmonella species, and Escherichia coli. The analysis showed that the washing reduced the total count of aerobic mesophilic bacteria by approximately 10 times, and the total count of yeasts and molds by approximately 8 times. Of the lettuce samples examined, 66,67% contained sulphite-reducing clostridia and 13,33% Salmonella species, before the washing. The number of samples with sulphite-reducing clostridia was reduced by five times after the washing, but the number of samples contaminated with Salmonella species remained the same.

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“…Yaprak alanı karasal ekosistemlerde ışık tutma, evapotranspirasyon, fotosentez verimliliği, gübre ve sulama tepkisi gibi bitki büyüme ile ilgili çoğu fizyolojik çalışmalar için önemli bir değişkendir (Pandey and Singh 2011). Özellikle bitki sıklığı çalışmalarında yaprak alan indeksleri yüksek ancak ışık geçirgenlikleri düşük olan tane baklagil bitkilerinin yaprak alanının bilinmesi birim alan başına optimum bitki sayısını belirlemek için araştırmacıya yardımcı olur.…”

Section: Introductionunclassified

Bakla (Vicia faba L.)’da Farklı Ekim Sıklıklarının Yaprak Alanı ve Verim Unsurlarına Etkisi

Karayel¹,

Topal

Bozoğlu

2016

Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi

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ÖzBaklagillerin yaprak alan indeksleri yüksek, fakat ışık geçirgenlik katsayıları düşüktür. Bu nedenle gölgelenen yapraklarda fotosentez azalmakta, solunum artmasıyla asimilantların kaybı söz konusu olmaktadır. Bu çalışma farklı sıklıklarda yetiştirilen baklada yaprak alan değişimi, verim ve verime etki eden özelliklerin tespiti için planlanmıştır. Deneme iki yıl süreyle Samsun şartlarında, Filiz-99 bakla çeşidi ile 6 farklı ekim sıklığında (25x15, 25x25, 50x15, 50x25, 75x15, 75x25) 3 tekrarlamalı tesadüf blokları deneme desenine göre yürütülmüştür. Veriler yıllar üzerinden birleştirilerek varysans analizi yapılmıştır. Varyans analiz sonucuna göre sıra aralıklarının bakla sayısı, gövde çapı, yüz tane ağırlığı, tane verimi ve yaprak alanına; sıra üzeri mesafelerin bitki boyu, ilk bakla yüksekliği ve tane verimine; yılların bitki boyu, dal sayısı, bakla sayısı, gövde çapı, bakla uzunluğu, yüz tane ağırlığı, tane verimi ve yaprakçık sayısına istatistiki olarak etki ettiği tespit edilmiştir. Farklı sıra aralığı mesafelerinde ayrı ayrı yapılan korelasyon analizi sonucu; her 3 sıra aralığında da tane veriminin bakla sayısı, gövde çapı, bakla boyu ve yüz tane ağırlığı ile pozitif ilişkili olduğu görülmüştür. Yaprak alanı ile diğer özellikler arasında 25 cm sıra aralığında hiçbir ilişki görülmezken, 50 cm sıra aralığında yaprak alanı ile gövde çapı arasında pozitif, 75 cm sıra aralığında yaprak alanı ile yaprakçık sayısı arasında pozitif, baklada tane sayısı ile negatif ilişki olduğu tespit edilmiştir. Leaf Area and Yield Components Relationship of Broad Bean (Vicia faba L.) Sowed in Different Sowing Density AbstractLeaf area index are high but light transmission coefficients are low in Legumes. Therefore, photosynthesis decreases in shaded leaves and loss of asimilant comes true with the increase of respiration. This study was planned to determine leaf area change, yield and properties effective on yield of broad bean sowed in different densities. Experiment was conducted in Samsun conditions for two years with Filiz-99 broad bean variety and at six different sowing densities (25x15, 25x25, 50x15, 50x25, 75x15, 75x25) according to randomized completed block design with three replications. Datas were combined over the years and variance analysis was done. According to variance analysis result, those were determined that row spacing affected pod number, stem diameter, a hundred seed weight, seed yield and leaf area; intrarow distances affected plant height, first pod height and seed yield; years affected plant height, branches number, pod number, stem diameter, pod length, a hundred seed weight, seed yield and leaflet number, statistically. As a result of correlation analysis made separately for different row spacing distances, a positive correlation between seed yield and pod number, stem diameter, pod height and a hundred seed weight was seen at three row spacing. When there was no relationship between leaf area and other features at 25 cm row spacing, a positive correlation was determined between leaf area and stem d...

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A Simple, Cost-Effective Method for Leaf Area Estimation

Cited by 183 publications

References 30 publications

Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

The Microbiological Status of (Ready to Eat) Lettuce Before and After Standard Washing

Bakla (Vicia faba L.)’da Farklı Ekim Sıklıklarının Yaprak Alanı ve Verim Unsurlarına Etkisi

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