Prediction of mineral nutrient status of trees by foliar analysis

@article{Driessche2008PredictionOM,
  title={Prediction of mineral nutrient status of trees by foliar analysis},
  author={R. van den Driessche},
  journal={The Botanical Review},
  year={2008},
  volume={40},
  pages={347-394}
}
  • R. Driessche
  • Published 8 February 1974
  • Chemistry
  • The Botanical Review
View on Springer
114 Citations
Highly Influential Citations
1
Background Citations
38
Methods Citations
7
Results Citations
1

114 Citations

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The objective of this work is to review and to use the available information in the literature and the opinion of the cacao crop experts to establish the Wymore's standardized scoring functions (SSFs) for the main macro and micronutrients in cacao leaves.
Biogeochemical Cycling on Land
Early Detection of Grape Stem Borer Using IoT
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A novel system, utilizing sound sensor for detection of stem borer in grape vineyard using Internet of things through an handheld device is presented, envisioned to incorporate the significant advancements in communication technologies and wireless sensor networks.
Characterizing Nutrient Composition and Concentration in Tomato-, Basil-, and Lettuce-Based Aquaponic and Hydroponic Systems
Aquaponic nutrient studies often use various types of water containing high levels of mineral nutrients for water supply, making it difficult to accurately determine deficient nutrients limiting crop…
Soil and Nutrient Cycling Responses in Riparian Forests to the Loss of Ash (Fraxinus spp. L) from Emerald Ash Borer (Agrilus planipennis, Fairmaire)
Emerald ash borer (EAB) is an alien invasive species that is spreading across Canada and the United States killing ash trees. In riparian forests where ash may be abundant; loss of ash can induce…
SOIL AND FOLIAR NUTRIENTS CONCENTRATION OF CONIFER SPECIES IN THE COMMUNITIES OF MOIST TEMPERATE AREAS OF SOUTHERN HIMALAYAN AND HINDUKUSH REGION OF PAKISTAN
This study provides foliar nutrient concentration distribution of thirteen conifer communities, recorded from moist temperate area of Pakistan. The influence of soil nutrients that may affect the…
A Fungus Detection System for Greenhouses Using Wireless Visual Sensor Networks and Machine Learning
TLDR
This paper demonstrates how Hough forest machine learning and image processing can be successful in detecting fungus present on crop plant leaves from the images taken from camera sensors in the greenhouse.
Using morphological attributes for the fast assessment of nutritional responses of Buddhist pine (Podocarpus macrophyllus [Thunb.] D. Don) seedlings to exponential fertilization
TLDR
Morphological traits, i.e., the green color index and leaf area obtained by digital analysis and the fine root growth, all remained constant in response to doses that induced steady nutrient loading, and LA had a positive relationship with most of the nutritional parameters.
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References

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CHAPTER TWO – The Essential Nutrient Elements: Requirements and Interactions in Plants
Determination of Nutrient Requirements of Forest Stands
The Effects of Water and Fertilizer on Loblolly and Slash Pine Seedlings 1
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The Effect of Nitrogen Fertilization on the Concentration and Weight of Nitrogen, Phosphorus, and Potassium in Douglas-Fir Trees 1
Analyses were made of composite samples of needles, live branches, dead branches, bark and wood of 70 Douglas-fir trees taken from five areas and ranging in age from 30 to 50 years. The fertilized…
Variation in Foliage Composition and Diameter Growth of Yellow Birch with Season, Soil, and Tree Size 1
Variation in the Ability of Slash Pine Progeny Groups to Absorb Nutrients 1
Twenty-seven variables were tested to determine whether five slash pine (Pinus elliottii var. elliottii) progeny groups of known parentage differed in ability to absorb and efficiently utilize…
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