scholarly journals Development of Variable Rate Granule Applicator for Environment-Friendly Precision Agriculture (I) - Concept Design of Variable Rate Pneumatic Granule Applicator and Manufacture of Prototype -

2006 ◽  
Vol 31 (4) ◽  
pp. 305-314 ◽  
Author(s):  
K.H. Ryu ◽  
Y.J. Kim ◽  
S.I. Cho ◽  
J.Y. Rhee
Keyword(s):  
Precision Agriculture ◽  
Variable Rate ◽  
Concept Design ◽  
Environment Friendly

scholarly journals A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy

2021 ◽  
Vol 13 (4) ◽  
pp. 1879
Author(s):  
Maurizio Canavari ◽  
Marco Medici ◽  
Rungsaran Wongprawmas ◽  
Vilma Xhakollari ◽  
Silvia Russo
Keyword(s):  
Technology Acceptance ◽  
Precision Agriculture ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Path Model ◽  
Irrigated Agriculture ◽  
Variable Rate ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Variable Rate Irrigation

Irrigated agriculture determines large blue water withdrawals, and it is considered a key intervention area to reach sustainable development objectives. Precision agriculture technologies have the potential to mitigate water resource depletion that often characterises conventional agricultural approaches. This study investigates the factors influencing farmers’ intentions to adopt variable rate irrigation (VRI) technology. The Technology Acceptance Model 3 (TAM-3) was employed as a theoretical framework to design a survey to identify the factors influencing farmers’ decision-making process when adopting VRI. Data were gathered through quantitative face-to-face interviews with a sample of 138 fruit and grapevine producers from the Northeast of Italy (Veneto, Emilia-Romagna, Trentino-Alto Adige, Friuli-Venezia Giulia). Data were analysed using partial least squares path modelling (PLS-PM). The results highlight that personal attitudes, such as perceived usefulness and subjective norm, positively influence the intention to adopt VRI. Additionally, the perceived ease of use positively affects intention, but it is moderated by subject experience.

Variable-rate application technologies in precision agriculture

2018 ◽  
pp. 171-193
Author(s):  
Kenneth A. Sudduth ◽  
◽  
Aaron J. Franzen ◽  
Heping Zhu ◽  
Scott T. Drummond ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Variable Rate ◽  
Variable Rate Application

Role of Telecommunications in Precision Agriculture

2011 ◽  
pp. 252-266
Author(s):  
James M. McKinion
Keyword(s):  
Precision Agriculture ◽  
Low Cost ◽  
New Technology ◽  
Local Area ◽  
Variable Rate ◽  
Positioning Systems ◽  
Storage And Retrieval ◽  
Data Files ◽  
Commercial Sources

Precision agriculture has been made possible by the confluence of several technologies: geographic positioning systems, geographic information systems, image analysis software, low-cost microcomputerbased variable rate controller/recorders, and precision tractor guidance systems. While these technologies have made precision agriculture possible, there are still major obstacles which must be overcome to make this new technology accepted and usable. Most growers will not do image processing and development of prescription maps themselves but will rely upon commercial sources. There still remains the challenge of storage and retrieval of multi-megabytes of data files for each field, and this problem will only continue to grow year by year. This chapter will discuss the various wireless technologies which are currently being used on three proof-of-concept farms or areas in Mississippi, the various data/ information intensive precision agriculture applications which use wireless local area networking and Internet access, and the next generation technologies which can immensely propel precision agriculture to widespread use in all of agriculture.

A Compact Variable Rate Sprayer for Teaching Precision Agriculture

2007 ◽  
Vol 23 (3) ◽  
pp. 267-272 ◽  
Author(s):  
A. R. Dickinson ◽  
D. M. Johnson ◽  
G. W. Wardlow
Keyword(s):  
Precision Agriculture ◽  
Variable Rate

Advances in precision agriculture in south-eastern Australia. I. A regression methodology to simulate spatial variation in cereal yields using farmers' historical paddock yields and normalised difference vegetation index

2009 ◽  
Vol 60 (9) ◽  
pp. 844 ◽  
Author(s):  
P. D. Fisher ◽  
M. Abuzar ◽  
M. A. Rab ◽  
F. Best ◽  
S. Chandra
Keyword(s):  
Linear Relationship ◽  
Precision Agriculture ◽  
Vegetation Index ◽  
Yield Variability ◽  
Variable Rate ◽  
Management Options ◽  
Yield Data ◽  
Alternative Management ◽  
Financial Benefits ◽  
Normalised Difference Vegetation Index

Despite considerable interest by Australian farmers in precision agriculture (PA), its uptake has been low. Analysis of the possible financial benefits of alternative management options that are based on the underlying patterns of observed spatial and temporal yield variability in a paddock could increase farmer confidence in adopting PA. The cost and difficulty in collecting harvester yield maps have meant that spatial yield data are generally not available in Australia. This study proposes a simple, economical and easy to use approach to generate simulated yield maps by using paddock-specific relationships between satellite normalised difference vegetation index (NDVI) and the farmer’s average paddock yield records. The concept behind the approach is illustrated using a limited dataset. For each of 12 paddocks in a property where a farmer’s paddock-level yield data were available for 3–5 years, the paddock-level yields showed a close to linear relationship with paddock-level NDVI across seasons. This estimated linear relationship for each paddock was used to simulate mean yields for the paddock at the subpaddock level at which NDVI data were available. For one paddock of 167 ha, for which 4 years of harvester yield data and 6 years of NDVI data were available, the map of simulated mean yield was compared with the map of harvester mean yield. The difference between the two maps, expressed as percentage deviation from the observed mean yield, was <20% for 63% of the paddock and <40% for 78% of the paddock area. For 3 seasons when there were both harvester yield data and NDVI data, the individual season simulated yields were within 30% of the observed yields for over 70% of the paddock area in 2 of the seasons, which is comparable with spatial crop modelling results reported elsewhere. For the third season, simulated yields were within 30% of the observed yield in only 22% of the paddock, but poor seasonal conditions meant that 40% of the paddock yielded <100 kg/ha. To illustrate the type of financial analysis of alternative management options that could be undertaken using the simulated yield data, a simple economic analysis comparing uniform v. variable rate nitrogen fertiliser is reported. This indicated that the benefits of using variable rate technology varied considerably between paddocks, depending on the degree of spatial yield variability. The proposed simulated yield mapping requires greater validation with larger datasets and a wider range of sites, but potentially offers growers and land managers a rapid and cost-effective tool for the initial estimation of subpaddock yield variability. Such maps could provide growers with the information necessary to carry out on-farm testing of the potential benefits of using variable applications of agronomic inputs, and to evaluate the financial benefits of greater investment in PA technology.

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