Crop models provide the ‘desired extra information’ to reduce farmer’s risk in decision making: the case of nitrogen application rates

In: JIAC2009 book of abstracts
Authors:
B. Basso 1University of Basilicata, Crop Systems Dept., Potenza, Italy

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S. Fountas 2Univ. of Thessaly, Cereteth, Volos, Greece

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L. Sartori 3Univ. of Padua, Landscape & Agroforestry Dept., Legnaro, Italy

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S.M. Pedersen 4Univ. of Copenhagen, Res. Economics, Copenhagen, Denmark

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C. Sorensen 5Univ. of Aarhus, Ag. Eng Dept, Aarhus, Denmark

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L. Pesonen 6Mtt, Agri-food, Helsinki, Finland

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A. Werner 7Zalf, Land Use Syst. Landscape Ecol Dept, Munchenberg, Germany

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S. Blackmore 2Univ. of Thessaly, Cereteth, Volos, Greece

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Type:
Chapter
Pages:
255
DOI:
https://doi.org/10.3920/9789086866755_256

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Cover JIAC2009 book of abstracts
E-Book ISBN:
9789086866755
Publisher:
Wageningen Academic
Print Publication Date:
28 Nov 2009
Preliminary Material
Active sensing of the N status of wheat using optimized wavelength combination: impact of seed rate, variety and growth stage
Development and first tests of a mobile lab combining optical and analogical sensors for crop monitoring in precision viticulture
Sensitivity of narrow and broad-band vegetation indexes to leaf chlorophyll concentration in planophile crops canopies
Comparison of methods to estimate LAI from remote sensing in maize canopies by inversion of 1-D and 3-D models
Plant leaf roughness analysis by texture classification with generalized fourier descriptors in different dimensionality reduction context
Evaluation of cost-effective real-time slope sensing system for wild blueberry
Intelligent autonomous system for the detection and treatment of fungal diseases in arable crops
On-the-go yield and sugar sensing in grape harvester
Using GreenSeeker to drive variable rate application of plant growth regulators and defoliants on cotton
Canopy temperature interpretation of thermal imagery for crop water stress determination
Using an active sensor to make in-season nitrogen recommendations for corn
Optical signals of oxidative stress in crops physiological state diagnostics
Spatial patterns of wilting in sugar beet as an indicator for precision irrigation
Development of an instrument to monitor crop growth status
Field hyperspectral imagery: a new tool for crop monitoring at plant scale
Determination of canopy properties of winter oilseed rape using remote sensing: techniques in field experiments
Within-field and regional prediction of malting barley protein content using canopy reflectance
Development and improvement of the air assist seeding following the map information
Use of ultrasonic transducers for on-line biomass estimation in winter wheat
Use of a ground lidar scanner to measure vineyard leaf area and structural variability of vines
Sensing tree canopy parameters in real time for precision fructiculture/horticulture applications: first results
High-end laser rangefinder scanner in agriculture
Detection og head blight (Fusarium spp.) at ears of winter wheat using hyperspectral and chlorophyll fluorescence imaging
Early detection and discrimination of Puccinia triticina infestation in susceptible and resistant wheat cultivars by chlorophyll fluorescence imaging technique
Detection of the Tulip Breaking Virus (TBV) in tulip using spectral and vision sensors
Investigation into the classification of diseases of sugar beet leaves using multispectral stereo images
Study on plant pathogenesis with help of laser-optical and poly-functional spectrophotometers
MARVIN: high speed 3D imaging for seedling classification
Flower spatial variability in an apple orchard
Apple detection in natural tree canopies from multimodal images
Effects of seed rate and nitrogen fertilisation on cereal canopy characteristics
Improved modelling of maize growth by combining a biophysical model of photosynthesis with hyperspectral remote sensing
Comparing hyperspectral vegetation indices for estimating nitrogen status of winter wheat
Possibilities of cereal canopy assessment by using the NDVI
Evaluation of palm trees water status using remote thermal imaging
Classification of sugar beet and volunteer potato spectra using a neural network to select wavelengths
Automated weed detection in winter wheat by using artificial neural networks
Spectral signatures of diseased sugar-beet leaves
Development of an integrated approach for weed detection in cotton, for site specific weed management
Selectivity of weed harrowing in cereals with sensor technology in Germany
Automatic derivation of weed densities from images for site-specific weed management
Evaluation of a ground-based weed mapping system in Maize
Evolution of agricultural machinery: the third way
Mass flow sensor for combines with bucket conveyors
Automated, low-cost yield mapping of wild blueberry fruit
Development and first tests of a farm monitoring system based on a client-server technology
Agri yield management: practical solutions for profitable and sustainable agriculture based on advanced technology
Flow behavior analysis of a rfid-tracer for traceability of grain
Gamma ray sensor for top soil mapping: THE MOLE

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