scholarly journals 649 Summary of the Status of Precision Agriculture

HortScience ◽  
1999 ◽  
Vol 34 (3) ◽  
pp. 559E-559 ◽  
Author(s):  
Douglas C. Sanders
Keyword(s):  
Environmental Impacts ◽  
Precision Agriculture ◽  
Production Systems ◽  
Great Depth ◽  
Site Specific ◽  
Improve Production ◽  
Planning And Management ◽  
The Status ◽  
Specific Management

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.

scholarly journals Optimum size in grid soil sampling for variable rate application in site-specific management

2011 ◽  
Vol 68 (3) ◽  
pp. 386-392 ◽  
Author(s):  
Marcos Rafael Nanni ◽  
Fabrício Pinheiro Povh ◽  
José Alexandre Melo Demattê ◽  
Roney Berti de Oliveira ◽  
Marcelo Luiz Chicati ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Precision Agriculture ◽  
Production Efficiency ◽  
Sampling Interval ◽  
Soil Samples ◽  
Soil Sampling ◽  
Kappa Statistics ◽  
Increase Production Efficiency ◽  
Site Specific ◽  
Specific Management

The importance of understanding spatial variability of soils is connected to crop management planning. This understanding makes it possible to treat soil not as a uniform, but a variable entity, and it enables site-specific management to increase production efficiency, which is the target of precision agriculture. Questions remain as the optimum soil sampling interval needed to make site-specific fertilizer recommendations in Brazil. The objectives of this study were: i) to evaluate the spatial variability of the main attributes that influence fertilization recommendations, using georeferenced soil samples arranged in grid patterns of different resolutions; ii) to compare the spatial maps generated with those obtained with the standard sampling of 1 sample ha-1, in order to verify the appropriateness of the spatial resolution. The attributes evaluated were phosphorus (P), potassium (K), organic matter (OM), base saturation (V%) and clay. Soil samples were collected in a 100 × 100 m georeferenced grid. Thinning was performed in order to create a grid with one sample every 2.07, 2.88, 3.75 and 7.20 ha. Geostatistical techniques, such as semivariogram and interpolation using kriging, were used to analyze the attributes at the different grid resolutions. This analysis was performed with the Vesper software package. The maps created by this method were compared using the kappa statistics. Additionally, correlation graphs were drawn by plotting the observed values against the estimated values using cross-validation. P, K and V%, a finer sampling resolution than the one using 1 sample ha-1 is required, while for OM and clay coarser resolutions of one sample every two and three hectares, respectively, may be acceptable.

scholarly journals Expedited generation of terrain digital classes in flat areas from UAV images for precision agriculture purposes

2017 ◽  
Vol 8 (2) ◽  
pp. 828-832
Author(s):  
M. C. Pineda ◽  
C. Perdomo ◽  
R. Caballero ◽  
A. Valera ◽  
J. A. Martínez-Casasnovas ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Topographic Wetness Index ◽  
Site Specific ◽  
Soil Variables ◽  
Digital Terrain ◽  
Digital Elevation ◽  
Elevation Model ◽  
Uav Images ◽  
Specific Management

Precision agriculture (PA) requires reasonably homogeneous areas for site-specific management. This work explores the applicability of digital terrain classes obtained from a digital elevation model derived from UAV-acquired images, to define management units in in a relative flat area of about 6 ha. Elevation, together with other terrain variables such as: slope degree, profile curvature, plan curvature, topographic wetness index, sediment transport index, were clustered using the Fuzzy Kohonen Clustering Network (FKCN). Four terrain classes were obtained. The result was compared with a map produced by a classification of soil properties previously interpolated by ordinary kriging. The results suggest that areas for site-specific management can be defined from terrain classes based on environmental covariates, saving time and cost in comparison with interpolation of soil variables.

scholarly journals Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique

2008 ◽  
Vol 65 (6) ◽  
pp. 567-573 ◽  
Author(s):  
José Paulo Molin ◽  
Cesar Nunes de Castro
Keyword(s):  
Electrical Conductivity ◽  
Soil Fertility ◽  
Soil Properties ◽  
Precision Agriculture ◽  
Principal Component ◽  
Site Specific ◽  
Management Zones ◽  
Physical Attributes ◽  
Definition Of ◽  
Specific Management

The design of site-specific management zones that can successfully define uniform regions of soil fertility attributes that are of importance to crop growth is one of the most challenging steps in precision agriculture. One important method of so proceeding is based solely on crop yield stability using information from yield maps; however, it is possible to accomplish this using soil information. In this study the soil was sampled for electrical conductivity and eleven other soil properties, aiming to define uniform site-specific management zones in relation to these variables. Principal component analysis was used to group variables and fuzzy logic classification was used for clustering the transformed variables. The importance of electrical conductivity in this process was evaluated based on its correlation with soil fertility and physical attributes. The results confirmed the utility of electrical conductivity in the definition of management zones and the feasibility of the proposed method.

scholarly journals A Precision Agriculture Approach for Durum Wheat Yield Assessment Using Remote Sensing Data and Yield Mapping

Agronomy ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 437 ◽  
Author(s):  
Piero Toscano ◽  
Annamaria Castrignanò ◽  
Salvatore Filippo Di Gennaro ◽  
Alessandro Vittorio Vonella ◽  
Domenico Ventrella ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Durum Wheat ◽  
Precision Agriculture ◽  
Wheat Yield ◽  
Remote Sensing Data ◽  
Farming Practices ◽  
Site Specific ◽  
Sensing Data ◽  
Yield Monitoring ◽  
Specific Management

The availability of big data in agriculture, enhanced by free remote sensing data and on-board sensor-based data, provides an opportunity to understand within-field and year-to-year variability and promote precision farming practices for site-specific management. This paper explores the performance in durum wheat yield estimation using different technologies and data processing methods. A state-of-the-art data cleaning technique has been applied to data from a yield monitoring system, giving a good agreement between yield monitoring data and hand sampled data. The potential use of Sentinel-2 and Landsat-8 images in precision agriculture for within-field production variability is then assessed, and the optimal time for remote sensing to relate to durum wheat yield is also explored. Comparison of the Normalized Difference Vegetation Index(NDVI) with yield monitoring data reveals significant and highly positive linear relationships (r ranging from 0.54 to 0.74) explaining most within-field variability for all the images acquired between March and April. Remote sensing data analyzed with these methods could be used to assess durum wheat yield and above all to depict spatial variability in order to adopt site-specific management and improve productivity, save time and provide a potential alternative to traditional farming practices.

Spatial assessment of the physiological status of wheat crops as affected by water and nitrogen supply using infrared thermal imagery

2005 ◽  
Vol 56 (9) ◽  
pp. 983 ◽  
Author(s):  
D. Rodriguez ◽  
V. O. Sadras ◽  
L. K. Christensen ◽  
R. Belford
Keyword(s):  
Precision Agriculture ◽  
Nitrogen Supply ◽  
Stress Index ◽  
Wheat Crop ◽  
Physiological Status ◽  
Spatial Indices ◽  
Site Specific ◽  
Crop Density ◽  
Normalised Difference Vegetation Index ◽  
Specific Management

This work addresses the need for meaningful spatial indices of the physiological condition of field crops for site-specific management and variable rate application in precision agriculture. Precision agriculture is designed to target crop inputs according to within-field requirements to increase profitability while protecting the environment. The objectives of this work were to (a) develop a canopy physiological stress index with spatial resolution commensurate with the needs of site-specific management, and (b) test the physiological meaning of this index by exploring its association with key processes and variables at leaf and crop levels. We report results from a single-year field experiment where different levels of irrigation, wheat crop density, and nitrogen supply were applied to increase the expression of within-season variability. We defined a canopy stress index (CSI) as the difference between canopy (Tc), and air temperature (Ta), normalised by vapour pressure deficit (VPD): CSI = (Tc – Ta)/VPD. A novel method to extract canopy temperatures (Tc) from complex digital thermal images was developed, thus allowing for the spatial characterisation of CSI. CSI is expected to be positive and high if the capacity of the canopy to dissipate heat is reduced as when stomata close. CSI accounted for 80% of the variation in growth rate and yield, compared with 46–49% explained by the normalised difference vegetation index (NDVI). Most of the variation in crop response variables was related to water supply. The physiological meaning of this index was reinforced by its significant association with gas exchange variables measured at the leaf-level. The potential for the use of digital thermal imaging in precision agriculture is discussed.

Nitrogen Uptake across Site Specific Management Zones in Irrigated Corn Production Systems

2005 ◽  
Vol 97 (1) ◽  
pp. 169-176 ◽  
Author(s):  
D. Inman ◽  
R. Khosla ◽  
D. G. Westfall ◽  
R. Reich
Keyword(s):  
Nitrogen Uptake ◽  
Production Systems ◽  
Corn Production ◽  
Site Specific ◽  
Management Zones ◽  
Specific Management

Implementing precision agriculture concepts and technologies into crop production and site-specific management of nematodes.

2021 ◽  
pp. 421-427
Author(s):  
Michael T. Plumblee ◽  
John D. Mueller
Keyword(s):  
Precision Agriculture ◽  
Crop Production ◽  
Spatial Location ◽  
Future Research ◽  
Economic Returns ◽  
Site Specific ◽  
Management Zones ◽  
Application Rates ◽  
Other Information ◽  
Specific Management

Abstract Precision agriculture is defined as a management strategy that gathers, processes and analyses temporal, spatial and individual data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production. This includes a wide range of technologies, many of which are linked to geographic information system technologies used to analyse spatial location and organize layers of on-farm data. Southern root-knot (Meloidogyne incognita), reniform (Rotylenchulus reniformis), Columbia lance (Hoplolaimus columbus) and sting (Belonolaimus longicaudatus) nematodes are significant problems on cotton in the US. Granular and fumigant nematicides have provided control when applied at uniform rates across fields pre-plant in-furrow or at-plant in-furrow at costs of US$148 and US$74 per hectare, respectively. Site-specific variable-rate (SSVR) technologies offer producers the potential to move away from uniform application rates and apply nematicides only to specific management zones in a field. The goal is to sustain yield levels while minimizing nematicide applications and thus increasing economic returns. This chapter discusses strategies for the development of management zones, evolution of application technologies needed for SSVR applications, assessment of nematode damage from multispectral images, and field experiences with site-specific nematode management. The economic importance of precision agriculture technology and future research requirements are also mentioned.

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