Proceedings

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Aberger, C
Arnall, D.B
Alabi, T
Alfonso, F
Akhter, F
Andrade, R.G
Arno, J
Abonyi, J
Al-Adawi, S
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Authors
Arno, J
DEL MORAL, I
Escolà, A
Company, J
MARTÍNEZ-CASASNOVAS, J.A
MASIP, J
SANZ, R
ROSELL, J.R
Olayide, O.E
Ikpi, A.E
Okoruwa, V.O
Alabi, T
Omodele, T
Bernardi, A.C
Grego, C.R
Andrade, R.G
Vaz, C.M
Rabello, L.M
Inamasu, R.Y
Jayasuriya, H.P
Al-Wardy, M
Al-Adawi, S
Al-Hinai, K
Aberger, C
Wallenhammar, A
Jonsson, A
Arnall, D.B
Phillips, S
Penn, C
Watkins, P
Rutter, B
Warren, J
Olayide, O
Alene, A
Ikpi, A
Nziguheba, G
Alabi, T
Berger, A.G
Hoffman, E
Fassana, N
Alfonso, F
Sisák, I
Benő, A
Szabó, K
Kocsis, M
Abonyi, J
Hodge, K
Bainard, L
Smith, A
Akhter, F
Topics
Proximal Sensing in Precision Agriculture
Modeling and Geo-statistics
Precision Nutrient Management
Precision Conservation Management
Precision Crop Protection
Spatial Variability in Crop, Soil and Natural Resources
Spatial and Temporal Variability in Crop, Soil and Natural Resources
In-Season Nitrogen Management
Decision Support Systems
Applications of Unmanned Aerial Systems
Type
Poster
Oral
Year
2012
2010
2014
2016
2008
2018
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Filter results10 paper(s) found.

1. Mapping the Leaf Area Index In Vineyard Using a Ground-Based LIDAR Scanner

The leaf area index (LAI) is defined as the one-sided leaf area per unit ground area and is probably the most widely used index to characterize grapevine vigour. However, direct LAI measurement requires the use of destructive leaves sampling methods which are costly and time-consuming and so are other indirect methods. Faced with these techniques, vineyard leaf area can be indirectly estimated using ground-based LIDAR sensors that scan the vines and get information about the geometry and/or structure... J. Arno, I. Del moral, A. Escolà, J. Company, J.A. MartÍnez-casasnovas, J. Masip, R. Sanz, J.R. Rosell

2. Mapping The Effect Of Food Prices, Productivity And Poverty In The Development Domains Of Nigeria

  Poverty remains the major obstacle to economic emancipation and achievement of development agenda in Nigeria. Worse still, rising food prices pose a major threat to feeding the teeming population in Nigeria. Declining food production, high population growth, and negative food trade balance combine to worsen the food and poverty situations in Nigeria. We stand on the premise that surging and volatile food prices could have a hardest hit on those who could not afford it –... O.E. Olayide, A.E. Ikpi, V.O. Okoruwa, , T. Alabi, T. Omodele

3. Spatial Variability Of Crop And Soil Properties In A Crop-livestock Integrated System

The knowledge of spatial variability soil properties is useful in the rational use of inputs, as in the site specific application of lime and fertilizer. The objective of this work was to map and evaluate the spatial variability of the crop, soil chemical and physical properties. The study was conducted in 2 areas of 6.9 and 11.7 ha of a Typic Haplustox in Sao Carlos, SP, Brazil. The summer crops corn and sorghum were sowed together to the forage crop Brachiaria brizantha in the system of crop-pasture... A.C. Bernardi, C.R. Grego, R.G. Andrade, C.M. Vaz, L.M. Rabello, R.Y. Inamasu

4. GIS Mapping of Soil Compaction and Moisture Distribution for Precision Tillage and Irrigation Management

Soil compaction is one of the forms of physical change of soil structure which has positive and negative effects, in agriculture considered to make soil degradation. The undisciplined use of heavy load traffic or machinery in modern agriculture causes substantial soil compaction, counteracted by soil tillage that loosens the soil. Higher soil bulk densities affect resistance to root penetration, soil pore volume and permeability to air, and thus, finally the pore space habitable... H.P. Jayasuriya, M. Al-wardy, S. Al-adawi, K. Al-hinai

5. Biological Soil Mapping - Infesttion By Plasmodiophora Brassicae And Soil Characteristics

Clubroot, caused by Plasmodiophora brassicae, is a soilborne pathogen that causes severe yield losses in many Brassica crops. It is a increasing problem in many Brassica growing countries. The spores survive for 15-20 years and might cause significant yield losses (>10%), already when 20% of plant are infected. An infestation with a couple of thousands spores/g soil is considered to have the potential to give such significant losses.... C. Aberger, A. Wallenhammar, A. Jonsson

6. Should One Phosphorus Extraction Method Be Used for VRT Phosphorus Recommendation in the Southern Great Plains?

Winter Wheat has been produced throughout the southern Great Plains for over 100 years.  In most cases this continuous production of mono-culture lower value wheat crop has led to the neglect of the soils, one such soil property is soil pH. In an area dominated by eroded soils and short term leases, Land-Grant University wheat breeders have created lines of winter wheat which are aluminum tolerant to increase production in low productive soils.  Now the fields in this region can have... D.B. Arnall, S. Phillips, C. Penn, P. Watkins, B. Rutter, J. Warren

7. Application of Geographic Information Systems in Socioeconomic Analysis: A Case of Integrated Soil Fertility Management in the Savannas of Nigeria

Population pressure increases, shortened fallow cycles, cropping intensification, inaccessibility and low output prices as well as concerns about agricultural sustainability and self-sufficiency have combined to contribute to increased demand for integrated soil fertility management of the agricultural resource base. Following this situation, organic fertilizer in the form of animal manure becomes one of the principal sources of nutrients for soil fertility maintenance and crop production. Hence,... O. Olayide, A. Alene, A. Ikpi, G. Nziguheba, T. Alabi

8. Active Canopy Sensors for the Detection of Non-Responsive Areas to Nitrogen Application in Wheat

Active canopy sensors offer accurate measurements of crop growth status that have been used in real time to estimate nitrogen (N) requirements. NDVI can be used to determine the absolute amount of fertilizer requirement, or simply to distribute within the field an average rate defined by decision models using other diagnostics. The objective of this work was to evaluate the capacity of active canopy sensors to determine yield and N application requirements within a site at jointing stage (Feeks... A.G. Berger, E. Hoffman, N. Fassana, F. Alfonso

9. Reverse Modelling of Yield-Influencing Soil Variables in Case of Few Soil Data

Our hypothesis was that simple models can be applied to predict yield by using only those yield data which spatially coincide with the soil data and the remaining yield data and the models can be used to test different sampling and interpolation approaches commonly applied in precision agriculture and to better predict soil variables at not observed locations. Three strategies for composite sample collection were compared in our study. Point samples were taken 1.) along lines within homogenous... I. Sisák, A. Benő, K. Szabó, M. Kocsis, J. Abonyi

10. Using an Unmanned Aerial Vehicle with Multispectral with RGB Sensors to Analyze Canola Yield in the Canadian Prairies

In 2017 canola was planted on 9 million hectares in Canada surpassing wheat as the most widely planted crop in Canada.  Saskatchewan is the dominant producer with nearly 5 million hectares planted in 2017.  This crop, seen both as one of the highest-yielding and most profitable, is also one of most expensive and input-intensive for producers on the Canadian Prairies.   In this study, the effect of natural and planted shelterbelts on canola yield was compared with canola yield... K. Hodge, L. Bainard, A. Smith, F. Akhter