Dynamic Testing of GPS Receivers on Agricultural Aircraft for Remote Sensing and Variable-Rate Aerial Application

2006 ◽  
Author(s):  
S.J. Thomson ◽  
L.A. Smith
Keyword(s):  
Remote Sensing ◽  
Dynamic Testing ◽  
Variable Rate ◽  
Aerial Application ◽  
Gps Receivers

Use of geographic information systems and remote sensing as automated tool for variable rate irrigation prescriptions

2019 ◽  
Author(s):  
◽  
Anh Thi Tuan Nguyen
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
Regression Models ◽  
Field Data ◽  
Irrigation Management ◽  
Irrigation Scheduling ◽  
Crop Growth ◽  
Variable Rate ◽  
Water Application ◽  
Center Pivot

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Economic as well as water shortage pressure on agricultural use of water has placed added emphasis on efficient irrigation management. Center pivot technology has made great improvement with variable rate irrigation (VRI) technology to vary water application spatially and temporally to maximize the economic and environmental return. Proper management of VRI systems depends on correctly matching the pivot application to specific field temporal and areal conditions. There is need for a tool to accurately and inexpensively define dynamic management zones, to sense within-field variability in real time, and control variable rate water application so that producers are more willing to adopt and utilize the advantages of VRI systems. This study included tests of the center pivot system uniformity performance in 2014 at Delta Research Center in Portageville, MO. The goal of this research was to develop MOPivot software with an algorithm to determine unique management areas under center pivot systems based on system design and limitations. The MOPivot tool automates prescriptions for VRI center pivot based on non-uniform water needs while avoiding potential runoff and deep percolation. The software was validated for use in real-time irrigation management in 2018 for VRI control system of a Valley 8000 center pivot planted to corn. The water balance model was used to manage irrigation scheduling. Field data, together with soil moisture sensor measurement of soil water content, were used to develop the regression model of remote sensing-based crop coefficient (Kc). Remote sensing vegetation index in conjunction with GDD and crop growth stages in regression models showed high correlation with Kc. Validation of those regression models was done using Centralia, MO, field data in 2016. The MOPivot successfully created prescriptions to match system capacity of the management zone based on system limitations for center pivot management. Along with GIS data sources, MOPivot effectively provides readily available graphical prescription maps, which can be edited and directly uploaded to a center pivot control panel. The modeled Kc compared well with FAO Kc. By combining GDD and crop growth in the models, these models would account for local weather conditions and stage of crop during growing season as time index in estimating Kc. These models with Fraction of growth (FrG) and cumulative growing degree days (cGDD) had a higher coefficient of efficiency, higher Nash-Sutcliffe coefficient of efficiency and higher Willmott index of agreement. Future work should include improvement in the MOPivot software with different crops and aerial remote sensing imagery to generate dynamic prescriptions during the season to support irrigation scheduling for real-time monitoring of field conditions.

scholarly journals Evaluation of variable rate irrigation using a remote-sensing-based model

2018 ◽  
Vol 203 ◽  
pp. 63-74 ◽  
Author(s):  
J. Burdette Barker ◽  
Derek M. Heeren ◽  
Christopher M.U. Neale ◽  
Daran R. Rudnick
Keyword(s):  
Remote Sensing ◽  
Variable Rate ◽  
Variable Rate Irrigation

Remote sensing mapping of soil and plants as basis for a variable-rate nutrient application system

2004 ◽  
Author(s):  
Bent S. Bennedsen ◽  
Lene K. Christensen ◽  
Anders Pedersen ◽  
Lars S. Jensen ◽  
Niels E. Nielsen
Keyword(s):  
Remote Sensing ◽  
Variable Rate ◽  
Application System ◽  
Remote Sensing Mapping

Variable rate fertilization based on spectral index and remote sensing

2010 ◽  
Author(s):  
Shuqiang Li ◽  
Minzan Li ◽  
Yongjun Ding ◽  
Ruijiao Zhao
Keyword(s):  
Remote Sensing ◽  
Spectral Index ◽  
Variable Rate

scholarly journals Economic Comparison of Satellite, Plane and UAV-Acquired NDVI Images for Site-Specific Nitrogen Application: Observations from Italy

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2098
Author(s):  
Marco Sozzi ◽  
Ahmed Kayad ◽  
Stefano Gobbo ◽  
Alessia Cogato ◽  
Luigi Sartori ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Decision Making ◽  
Optical Properties ◽  
High Resolution ◽  
Economic Benefits ◽  
Decision Making Process ◽  
Variable Rate ◽  
Nitrogen Application ◽  
Sensing Platforms ◽  
Medium Resolution

Defining the most profitable remote sensing platforms is a difficult decision-making process, as it requires agronomic and economic considerations. In this paper, the price and profitability of three levels of remote sensing platforms were evaluated to define a decision-making process. Prices of satellite, plane and UAV-acquired vegetation indices were collected in Italy during 2020 and compared to the economic benefits resulting from variable rate nitrogen application, according to a bibliographic meta-analysis performed on grains. The quality comparison of these three technologies was performed considering the error propagation in the NDVI formula. The errors of the single bands were used to assess the optical properties of the sensors. Results showed that medium-resolution satellite data with good optical properties could be profitably used for variable rate nitrogen applications starting from 2.5 hectares, in case of medium resolution with good optical properties. High-resolution satellites with lower optical quality were profitable starting from 13.2 hectares, while very high-resolution satellites with good optical properties could be profitably used starting from 76.8 hectares. Plane-acquired images, which have good optical properties, were profitable starting from 66.4 hectares. Additionally, a reference model for satellite image price is proposed.

scholarly journals Portable snapshot spectral imaging for agriculture

2018 ◽  
pp. 221-225 ◽  
Author(s):  
András Jung ◽  
René Michels ◽  
Rainer Graser
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Hyperspectral Imaging ◽  
Management Strategies ◽  
Variable Rate ◽  
Sensing Applications ◽  
Regular Variable ◽  
Remote Sensing Applications ◽  
Video Sensors ◽  
Areas Of Interest

High-resolution proximal and remote sensing applications can consolidate sustainable, prevention- and precision-oriented crop management strategies to decrease production risks. This paper shows significant perspectives, own developments and technical aspects of high resolution remote sensing in the context of field applications. Moreover, we provide an overview of snapshot hyperspectral imaging and potential field video sensors to identify areas of interest for their future development. One of the main conclusions of our paper is that non-scanning snapshot hyperspectral imaging technology may enable researchers to overcome the gap in the “point to image” transition of field sensing, while providing a flexible solution for regular variable-rate applications.

scholarly journals Aerial Application Methods for Control of Weed Species in Fallow Farmlands in Texas

Agronomy ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1764
Author(s):  
Daniel E. Martin ◽  
Mohamed A. Latheef ◽  
Juan D. Lopez ◽  
Sara E. Duke
Keyword(s):  
Remote Sensing ◽  
Field Research ◽  
Application Rate ◽  
Spray Nozzle ◽  
Early Winter ◽  
Spray Application ◽  
Weed Species ◽  
Aerial Application ◽  
Application Methods ◽  
Over Time

Prolific growth of weeds, especially when followed by abundant rainfall, is common in Texas farmlands during early winter and progresses into spring when farmers begin chiseling and disking operations for spring-seeded cropping. This research sought to develop aerial application technologies designed to control unwanted vegetation in croplands left fallow until spring. The aerial nozzles used in the study were conventional hydraulic (CP), rotary atomizer, and electrostatically (ES) charged nozzles. Glyphosate at 0.4145 kg ae·ha−1 was applied on weeds using a fixed-wing aircraft equipped with various aerial nozzles used as treatments. The spray application rate for the conventional and rotary atomizer nozzles was 28.1 L·ha−1, while that for the ES charged nozzle was 9.4 L·ha−1. Aerial and ground-based remote sensing and visual estimates quantified weed vigor and canopy health. Both the CP and rotary atomizer nozzles were efficacious in suppressing weeds. ES charged on nozzles at one-third of the spray application rate of the CP and the rotary atomizer nozzles were equally effective in reducing weed vigor. More aerially applied replicated field research trials conducted over time and space are needed to unravel the differences between aerial spray nozzle technologies for controlling weed populations in Texas farmlands.

GPS Receiver Operations on the Disaster Monitoring Constellation Satellites

2005 ◽  
Vol 58 (2) ◽  
pp. 227-240 ◽  
Author(s):  
Takuji Ebinuma ◽  
Elizabeth Rooney ◽  
Scott Gleason ◽  
Martin Unwin
Keyword(s):  
Remote Sensing ◽  
Global Positioning System ◽  
Earth Observation ◽  
Lessons Learned ◽  
Positioning System ◽  
Gps Receiver ◽  
Gps Receivers ◽  
Global Positioning ◽  
Disaster Monitoring ◽  
Observation Programme

The Disaster Monitoring Constellation (DMC) is an international Earth observation programme to provide a rapid global remote sensing service for the monitoring and mitigation of natural and man-made disasters. Although the Global Positioning System (GPS) was originally designed for terrestrial and air applications, satellite operations have benefited greatly from the use of on-board GPS receivers. This paper describes the GPS receiver operations on the DMC satellites, performance analysis, lessons learned, and upgrades planned for the future.

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