canopy data Articles
-
Uptake of point source depleted 15n fertilizer by neighboring corn plants
Ground-based active (self-illuminating) sensors make it possible to collect canopy data that are useful for making on-the-go N fertilizer application decisions. These technologies raise questions about plant-to-plant competition for targeted fertilizer N applications. This study evaluated the extent to which fertilizer N applied to an individual corn (Zea mays L.) plant might be intercepted by ...
-
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 ...
-
AquaCrop—The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize
The first crop chosen to parameterize and test the new FAO AquaCrop model is maize (Zea mays L.). Working mainly with data sets from 6 yr of maize field experiments at Davis, CA, plus another 4 yr of Davis maize canopy data, a set of conservative (nearly constant) parameters of AquaCrop, presumably applicable to widely different conditions and not specific to a given crop cultivar, was evaluated ...
-
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 ...
-
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. ...
By VineView
-
Peanut response to planting date and potential of canopy reflectance as an indicator of pod maturation
Determining when to dig peanut (Arachis hypogea L.) is complicated because of its indeterminate growth habit. Pod mesocarp color is often used an indicator of pod maturation. However, this process is time consuming and is usually based on a relatively small subsample of pods from peanut fields. Research was conducted during 2003–2005 to determine if reflectance of the peanut canopy, using ...
-
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 ...
-
How to grow more food with less water
Scientists and farmers collaborate on a quest for more efficient irrigation This story was co-published with Civil Eats, a daily news source for critical thought about the American food system. From reading the weather to choosing a crop, farming has always been a hands-on enterprise. When a farmer wonders how much water a crop needs, a simple test has always sufficed: Grab a handful of soil ...
By Ensia
Need help finding the right suppliers? Try XPRT Sourcing. Let the XPRTs do the work for you