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Mulla, D.J
Choo, Y
Melo, D.D
McLendon, A
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Authors
Patil, V
Madugundu, R
Tola, E
Marey, S
Mulla, D.J
Upadhyaya, S.K
Al-Gaadi, K.A
Choo, Y
Chung, S
Huh, Y
Kim, Y
Jang, S
Jung, K
Liakos, V
Porter, W
Liang, X
Tucker, M
McLendon, A
Perry, C
Vellidis, G
da Cunha, I.A
Oldoni, H
Melo, D.D
Amaral, L.R
Melo, D.D
da Cunha, I.A
Brasco, T.L
Oldoni, H
Amaral, L.R
Melo, D.D
Brasco, T.L
da Cunha, I.A
Castro, S.G
Amaral, L.R
Topics
Precision Nutrient Management
Precision Horticulture
Decision Support Systems
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Site-Specific Nutrient, Lime and Seed Management
Type
Oral
Year
2014
2018
2024
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Filter results6 paper(s) found.

1. Response Of Rhodes Grass (Chloris Gayana Kunth) To Variable Rate Application Of Irrigation Water And Fertilizer Nitrogen

Rhodes grass is cultivated extensively in Saudi Arabia under center pivot sprinkler irrigation system. The research work was carried out to optimize irrigation water and fertilizer nitrogen levels for the crop. The objectives of the study were: 1. To delineate the field in to management zones, 2. To study the effects of variable rate application (VRA) of irrigation water and fertilizer nitrogen on the yield of Rhodes grass. A field experiment was carried out from... V. Patil, R. Madugundu, E. Tola, S. Marey, D.J. Mulla, S.K. Upadhyaya, K.A. Al-gaadi

2. Basic Tests Of pH And EC Probes For Automatic Real Time Nutrient Control In Protected Crop Production

Research on greenhouse and plant factory has been actively conducting to provide a stable growth environment. In plant factory, EC concentration (EC) and acidity (pH) of nutrient have a significant impact on physiological and morphological of plant. Therefore, EC and pH are important element for automatic control of nutrient solution. In this study, performance pH and EC sensors was evaluated for the responsiveness, accuracy and displacement. This study includes development of environmental... Y. Choo, S. Chung, Y. Huh, Y. Kim, S. Jang, K. Jung

3. Three Years of On-Farm Evaluation of Dynamic Variable Rate Irrigation: What Have We Learned?

This paper will present a dynamic Variable Rate Irrigation System developed by the University of Georgia. The system consists of the EZZone management zone delineation tool, the UGA Smart Sensor Array (UGA SSA) and an irrigation scheduling decision support tool. An experiment was conducted in 2015, 2016 and 2017 in two different peanut fields to evaluate the performance of using the UGA SSA to dynamically schedule Variable Rate Irrigation (VRI). For comparison reasons strips were designed within... V. Liakos, W. Porter, X. Liang, M. Tucker, A. Mclendon, C. Perry, G. Vellidis

4. Delineation of Yield Zones Using Optical and Radar Remote Sensing

Identifying yield zones in agricultural areas is essential for efficient resource allocation, operational optimization, and decision-making. While optical remote sensing is widely used in precision agriculture, the interest in radar remote sensing data, notably from the Sentinel-1 Synthetic Aperture Radar (SAR), has increased due to its operation in the C-band frequency, capturing data through cloud cover and the availability of free data. The main objective of this study was to evaluate whether... I.A. Da cunha, H. Oldoni, D.D. Melo, L.R. Amaral

5. Hierarchical Zoning: Targeted Sampling for Soil Attribute Mapping

The mapping of soil attributes for fertilizer recommendation remains challenging in precision agriculture. Traditionally, this mapping is done through soil sampling in a regular grid, which generally yields good results when done in denser grids. However, due to the high costs associated with sampling and analysis, sparser grids have been adopted, which has not produced good prediction results. Some studies with directed sampling points to obtain more accurate soil maps have been adopted to address... D.D. Melo, I.A. Da cunha, T.L. Brasco, H. Oldoni, L.R. Amaral

6. Sampling-based on Plant Vigor Zones As a Strategy for Creating Soil Attribute Maps

Mapping agronomically relevant soil properties for fertilizer recommendation remains challenging in precision agriculture. Traditionally, this mapping is conducted through soil sampling on a regular grid basis, where points are equally spaced primarily to ensure spatial coverage. However, directing soil sampling points based on plant vigor may be more efficient in capturing soil variability that directly affects plant development. Several commercial platforms offer solutions for defining management... D.D. Melo, T.L. Brasco, I.A. Da cunha, S.G. Castro, L.R. Amaral