Precision Agriculture – From Mapping to Site-Specific Application

Author(s):  
S. M. Pedersen ◽  
K. M. Lind
2018 ◽  
Vol 34 (5) ◽  
pp. 819-830 ◽  
Author(s):  
Aurelie M. Poncet ◽  
John P. Fulton ◽  
Timothy P. McDonald ◽  
Thorsten Knappenberger ◽  
Joey N. Shaw ◽  
...  

Abstract. Optimization of planter performance such as uniform seeding depth is required to maximize crop yield potential. Typically, seeding depth is manually adjusted prior to planting by selecting a row-unit depth and a row-unit downforce to ensure proper seed-soil contact. Once set, row-unit depth and downforce are usually not adjusted again for a field although soil conditions may vary. Optimization of planter performance requires automated adjustments of planter settings to varying soil conditions, but development of precision technologies with such capabilities requires a better understanding of soil-planter interactions. The objective of this study was to evaluate seeding depth response to varying soil conditions between and within fields and to discuss implications for development and implementation of active planting technologies. A 6-row John Deere MaxEmerge Plus planter equipped with heavy-duty downforce springs was used to plant corn ( L.) in central Alabama during the 2014 and 2015 growing seasons. Three depths (4.4, 7.0, and 9.5 cm) and three downforces (corresponding to an additional row-unit weight of 0.0, 1.1, and 1.8 kN) were selected to represent common practices. Depth and downforce were not readjusted between fields and growing seasons. Seeding depth was measured after emergence. Corn seeding depth significantly varied with heterogeneous soil conditions between and within fields and the planter failed to achieve uniform seeding depth across a field. Differences in corn seeding depth between fields and growing seasons were as high as 2.1 cm for a given depth and downforce combination. Corn seeding depth significantly co-varied with field elevation but not with volumetric soil water content. Seeding depth varied with elevation at a rate ranging from -0.1 cm/m to -0.6 cm/m. Seeding depth co-variation to field elevation account for some but not all site-specific seeding depth variability identified within each field trial. These findings provide a better understanding of site-specific seeding depth variability and issues to address for the development of site-specific planting technologies to control seeding depth accuracy and improve uniformity. Keywords: Depth control, Downforce, Planter, Precision agriculture, Seeding depth, Uniformity.


HortScience ◽  
1999 ◽  
Vol 34 (3) ◽  
pp. 559E-559 ◽  
Author(s):  
Douglas C. Sanders

The diversity of site-specific management opportunities is demonstrated by the list of topics and speakers we have in the colloquium. These techniques will help use to better understand, adapt, and adjust horticultural management to the benefit of producers, researchers, and the consumer. With these technologies we will be able to reduce costs, environmental impacts, and improve production, and quality. Horticulture will use more both remote and manually operated devices that allow more intensive planning and management of our production systems. This colloquium has just scratched the surface of the potential of these techniques in horticulture. We hope that the sampling will whet your appetite for great depth of study of the opportunities that are just around the corner.


1997 ◽  
Vol 45 (1) ◽  
pp. 199-215 ◽  
Author(s):  
D. Goense

Work quality, capacity and reliability are important criteria for design and evaluation of farm equipment. With the introduction of precision agriculture, the ability to adapt to spatially variable soil and crop conditions, becomes an additional aspect. A calculation method was developed to find the precision of site specific fertilizer application. The variance between the required rate, RR, and the applied rate, AR, was used as a measure for precision. The theory of geo-statistics was used for variance calculation. Spreading patterns were evaluated for different levels of field variability, positioning accuracy and resolution of the required application rates. The shape of spreading patterns had small influence. The effect of the accuracy of positioning systems was dependent on the resolution of the required application rates and of the working width of independently controlled sections of the spreaders.


2016 ◽  
Vol 3 (1) ◽  
pp. 1-14
Author(s):  
Mahfuza Afroj ◽  
Mohammad Mizanul Haque Kazal ◽  
Md Mahfuzar Rahman

Precision Farming merges the new technologies borne of the information age with a mature agricultural industry. It is an integrated crop management system that attempts to match the kind & amount of inputs with the actual crop needs for small areas within a farm fields. This study is basically based on the secondary data and it is a review paper. As it is a review paper so, there was less opportunity to follow any specific method in preparing this paper. Valuable information has been collected through internet browsing, journals etc. In this paper, we examine that, GPS, GIS, VRT, profitability, yield mapping etc. are most common precision agriculture techniques where, GIS can help in site-specific applications of fertilizers and soil amendments and help effectively detect and map black fly infestations, making it possible to achieve precision in pest control. Remote sensing combined with GIS and GPS can help in site-specific weed management. From the review we observed that, the global adoption of yield monitors has been predominated in North-America and Europe. The precision technologies have been used on a wider variety of crops in Denmark and UK than in the US. In Bangladesh, precision agriculture has great prospect as our country is highly natural calamity sensitive and through it we can easily take measure to prevent our agricultural products from damage caused by natural calamities. Though, precision agriculture is very costly but the benefit from it is more than its cost for most of the developing countries. So, the precision agriculture has great prospect in Bangladesh as well as in the world and it is the utmost time to adopt this technology in our traditional agriculture.Res. Agric., Livest. Fish.3(1): 1-14, April 2016


1998 ◽  
Vol 38 (7) ◽  
pp. 753 ◽  
Author(s):  
S. E. Cook ◽  
R. G. V. Bramley

Summary. Precision agriculture is the term given to crop management methods which recognise and manage within-paddock spatial and temporal variations in the soil–plant–atmosphere system. This paper reviews the principles, practice and perceived benefits of precision agriculture. The objective of precision agriculture is to improve the control of input variables such as fertiliser, seed, chemicals or water with respect to the desired outcomes of increased profitability, reduced environmental risk or better product quality. The practice can be viewed as comprising 4 stages: information acquisition; interpretation; evaluation; and control. Much of the technology to acquire information and control machinery is available or at a late stage of development. However, methods of interpretation are less well developed.


2017 ◽  
Vol 8 (2) ◽  
pp. 724-727
Author(s):  
J. Shockley ◽  
T. Mark ◽  
C. Dillon

Producers are often faced with information from industry touting a generic return on investment of precision agriculture technologies that are inflated through the use of simple techniques that ignore the time value of money. The economics of precision technologies are as site-specific as the technology. Therefore, educating producers (and agribusiness) on how to determine the return on investment by following the correct investment analysis techniques within a proper decision-making framework helps ensure an accurate site-specific return on investment for precision agriculture technologies.


2011 ◽  
Vol 31 (5) ◽  
pp. 895-905 ◽  
Author(s):  
Grazieli Suszek ◽  
Eduardo G. de Souza ◽  
Miguel A. Uribe-Opazo ◽  
Lucia H. P. Nobrega

Through the site-specific management, the precision agriculture brings new techniques for the agricultural sector, as well as a larger detailing of the used methods and increase of the global efficiency of the system. The objective of this work was to analyze two techniques for definition of management zones using soybean yield maps, in a productive area handled with localized fertilization and other with conventional fertilization. The sampling area has 1.74 ha, with 128 plots with site-specific fertilization and 128 plots with conventional fertilization. The productivity data were normalized by two techniques (normalized and standardized equivalent productivity), being later classified in management zones. It can be concluded that the two methods of management zones definition had revealed to be efficient, presenting similarities in the data disposal. Due to the fact that the equivalent standardized productivity uses standard score, it contemplates a better statistics justification.


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