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Canopy Sensor Placement For Measuring Articles & Analysis: Older

16 articles found

How to get seed rates spot on for target market and harvest scheduling

How to get seed rates spot on for target market and harvest scheduling

Potato agronomy is complex and requires a lot of planning, monitoring and evaluation throughout the production process. CPM finds out how digital agronomy tool Crop4Sight can help in all three areas as preparation for the 2023 season gathers paceIf you fail to prepare, you prepare to fail – an adage that is very relevant when thinking about potato crop establishment, with half the agronomy done ...

ByCrop4Sight


Bitwise Agronomy Brings a Data-Driven Solution to Vineyard Owners: GreenView

Who is Bitwise Agronomy, and what do they do? Bitwise Agronomy, an emerging agritech company based in Tasmania, has just launched GreenView: a smart imaging and data-collection application that helps vineyard owners assess their vines' conditions and make crop management decisions at a touch of a button. By capturing imagery through a roving camera, GreenView turns a vineyard entire plot into ...

ByBitwise Agronomy


The Forest Canopy: Structure, Roles & Measurement

The Forest Canopy: Structure, Roles & Measurement

If you are looking for a classic example of the circle of life, consider the forest canopy structure. A forest’s canopy structure is influenced by environmental and soil factors, and it also influences these factors in return. It is an aspect of forest ecology that is receiving more attention in this age of climate change emergency. The canopy structure is often overlooked, with most of the ...

ByCID Bio-Science, Inc.


Forest & Plant Canopy Analysis - Tools & Methods

Forest & Plant Canopy Analysis - Tools & Methods

Canopy Analysis for Crop, Forest & Plant Research The range of applications of canopy cover analysis is truly astounding. Canopy analysis derives its usefulness from the vitality of the canopy. Many methods to measure canopy cover have been developed in the last 80 years to meet various objectives. Not surprisingly, there have been several comparisons of the tools in different parts of the ...

ByCID Bio-Science, Inc.


The Importance of Leaf Area Index (LAI) in Environmental and Crop Research

The Importance of Leaf Area Index (LAI) in Environmental and Crop Research

Leaf Area Index (LAI), which is used as a measure in hundreds of studies on forests, crops, climate and the environment, is calculated as half the area of all leaves per unit area of ground. It is measured as the leaf area (m2 ) per ground area (m–2) and is unit-less. So, a plant with a LAI of 2 has an amount of leaves that can cover a given area two times. LAI is calculated for a plant or ...

ByCID Bio-Science, Inc.


The importance of Leaf Area Index (LAI) in environmental and crop research

The importance of Leaf Area Index (LAI) in environmental and crop research

Leaf Area Index (LAI), which is used as a measure in hundreds of studies on forests, crops, climate and the environment, is calculated as half the area of all leaves per unit area of ground. It is measured as the leaf area (m2 ) per ground area (m–2) and is unit-less. So, a plant with a LAI of 2 has an amount of leaves that can cover a given area two times. LAI is calculated for a plant or ...

ByCID Bio-Science, Inc.


PureVine: A Digital Representation of your Vines

PureVine: A Digital Representation of your Vines

This year VineView released an exciting new product called PureVine, that collects and represents data on a vine-by-vine basis. Not only does this provide the opportunity to look at individual vine performance, it also allows a statistical representation of a block expressed in number of vines. In addition, it gives growers information about non-productive vines by analyzing gaps in the canopy. ...

ByVineView


Evaluation of yield, quality and crop water stress index of sugar beet under different irrigation regimes

Evaluation of yield, quality and crop water stress index of sugar beet under different irrigation regimes

This study was carried out to evaluate the use of the crop water stress index (CWSI) for irrigation scheduling of sugar beet for two years under the semi arid climate of Iran. Statistical relationships between CWSI and yield, quality parameters and irrigation water use efficiency (IWUE) were investigated. Irrigations were scheduled based on 100 (I100), 85 (I85), 70 (I50) and 0% (I0) of plant ...

ByIWA Publishing


First attempt to measure rainfall canopy interception loss, throughfall, and stemflow in Juglans regia Linn and Cup. Sempervirens L. Var. fastigiata in the north of Iran

First attempt to measure rainfall canopy interception loss, throughfall, and stemflow in Juglans regia Linn and Cup. Sempervirens L. Var. fastigiata in the north of Iran

Each individual tree significantly alters the growth of surrounding vegetation by partitioning of rainfall and nutrients to the rooting zone. The Iranian Hyrcanian forests are among one of the most fragile ecosystems of the country owing to large industrial activities for logging and extensive urbanisation. These may accelerate disturbing of this unique type of forest. Of concern currently is an ...

ByInderscience Publishers


Will variable-rate nitrogen fertilization using corn canopy reflectance sensing deliver environmental benefits?

Will variable-rate nitrogen fertilization using corn canopy reflectance sensing deliver environmental benefits?

Within-field variability of corn (Zea mays L.) N need calls for development of precision fertilizer application strategies. One approach many are investigating is in-season canopy reflectance sensing. Justification for this strategy partly rests with the premise it will improve N use and reduce N loss from fields. The objective of this study was to determine the potential environmental benefits ...

BySoil Science Society of America (SSSA)


Ground-based canopy reflectance sensing for variable-rate nitrogen corn fertilization

Ground-based canopy reflectance sensing for variable-rate nitrogen corn fertilization

Nitrogen available to support corn (Zea mays L.) production can be highly variable within fields. Canopy reflectance sensing for assessing crop N health has been proposed as a technology to base side-dress variable-rate N application. Objectives of this research were to evaluate the use of active-light crop-canopy reflectance sensors for assessing corn N need, and derive the N fertilizer rate ...

BySoil Science Society of America (SSSA)


Optimization of crop canopy sensor placement for measuring nitrogen status in corn

Optimization of crop canopy sensor placement for measuring nitrogen status in corn

Active canopy sensors can be used to assess corn (Zea mays L.) N status and direct spatially-variable in-season N application. ...

BySoil Science Society of America (SSSA)


Evaluating multiple indices from a canopy reflectance sensor to estimate corn n requirements

Evaluating multiple indices from a canopy reflectance sensor to estimate corn n requirements

With the increasing cost of fertilizer N, there is a renewed emphasis on developing new technologies for quantifying in-season N requirements for corn (Zea mays L.). The objectives of this research are (i) to evaluate different vegetative indices derived from an active reflectance sensor in estimating in-season N requirements for corn, and (ii) to consider the influence of the N:Corn price ratio ...

BySoil Science Society of America (SSSA)


Spatial analysis of early wheat canopy normalized difference vegetative index

Spatial analysis of early wheat canopy normalized difference vegetative index

Efficient use of real-time canopy sensors requires knowledge of the scale (resolution) of variation in the measured canopy property. Knowing the amount of needed optical data requires estimation of the optimal combination of physical sensor density (number of sensors along the applicator boom) and sensor output density (sensor readings per unit distance along the travel path). The objective of ...

ByThe American Society of Agronomy (ASA)


Spatial analysis of early wheat canopy normalized difference vegetative index: determining appropriate observation scale

Spatial analysis of early wheat canopy normalized difference vegetative index: determining appropriate observation scale

Efficient use of real-time canopy sensors requires knowledge of the scale (resolution) of variation in the measured canopy property. Knowing the amount of needed optical data requires estimation of the optimal combination of physical sensor density (number of sensors along the applicator boom) and sensor output density (sensor readings per unit distance along the travel path). The objective of ...

BySoil Science Society of America (SSSA)


Traceflux: a small-scale tracer experiment at a forested site

Traceflux: a small-scale tracer experiment at a forested site

Results from four successful tracer experiments carried out in a dense forest canopy are presented. For each experiment, sulphur hexafluoride SF6 was released from a point source in trunk space and air samples were collected at 19 horizontally distributed locations in the canopy. Meteorological measurements include fast-response turbulence data recorded at several locations in and above the ...

ByInderscience Publishers

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