[go: up one dir, main page]

Kayahan et al., 2020 - Google Patents

Determination of the Relationship between NDVI and Yield by Using Remote Sensing for Silage Corn in Konya Region

Kayahan et al., 2020

View PDF
Document ID
9604176778081963848
Author
Kayahan N
Ustuntaş T
Aydın C
Publication year
Publication venue
Selcuk Journal of Agriculture and Food Sciences

External Links

Snippet

This study focuses on the yield estimation of silage corn in the province of Konya. This study was carried out in Selcuk University Sarıcalar Research and Application Farm in province of Konya. In this study, normalized difference vegetation index (NDVI) values obtained by …
Continue reading at dergipark.org.tr (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/53—Determining attitude

Similar Documents

Publication Publication Date Title
Cao et al. Monitoring of sugar beet growth indicators using wide-dynamic-range vegetation index (WDRVI) derived from UAV multispectral images
Balafoutis et al. Smart farming technologies–description, taxonomy and economic impact
Agüera et al. Measuring sunflower nitrogen status from an unmanned aerial vehicle-based system and an on the ground device
Mulla et al. Historical evolution and recent advances in precision farming
Samseemoung et al. Application of low altitude remote sensing (LARS) platform for monitoring crop growth and weed infestation in a soybean plantation
Zhu et al. Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping
Kaivosoja et al. A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data
Suarez et al. Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data
CN114065643B (en) SAR and polarization decomposition-based plant soil water content estimation method and system
AU2019252982A1 (en) Crop coefficients and use thereof for irrigation guidance
Fieuzal et al. Estimation of sunflower yield using a simplified agrometeorological model controlled by optical and SAR satellite data
Khose et al. UAV-based multispectral image analytics for generating crop coefficient maps for rice
Swain et al. Computer vision system for wild blueberry fruit yield mapping
Tunca et al. Silage maize yield estimation by using planetscope, sentinel-2A and landsat 8 OLI satellite images
Furlanetto et al. LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery
Zaman et al. Automated, low-cost yield mapping of wild blueberry fruit
Bausch et al. Strategies to evaluate goodness of reference strips for in-season, field scale, irrigated corn nitrogen sufficiency
Kayahan et al. Determination of the Relationship between NDVI and Yield by Using Remote Sensing for Silage Corn in Konya Region
Zheng et al. Calibrating ultrasonic sensor measurements of crop canopy heights: a case study of maize and wheat
Zhang et al. UAS-based remote sensing applications on the Northern Colorado Limited Irrigation Research Farm
Chatzinikos et al. The use of a laser scanner for measuring crop properties in three different crops in Central Greece
Psomiadis et al. Combining Multispectral Data from Unmanned Aerial System and Sentinel-2 for Kiwifruit and Cotton Monitoring and Yield Assessment
Stoyanova et al. Unmanned drone multispectral imaging for assessment of wheat and oilseed rape habitus.
US8195541B2 (en) Method of marketing and contracting for the sale of agricultural yield-increase related products
Änäkkälä et al. Application of UAV multispectral imaging for determining the characteristics of maize vegetation.