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Vangeyte, J
Oh, S
Schatz, B
Porter, L
Upadhyaya, S.K
Emadi, M.M
Xiong, Y
Percival, D
Pimstein, A
Terra, J.A
Stone, K
Mashhadi, H.R
Longlong, L
Makkar, M.S
Carson, T
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Authors
Sekhon, B.S
Mukherjee, J
Sharma, A
Thind, S.K
Kaur, R
Makkar, M.S
Sharma, A
Makkar, M.S
Gupta, S
Zaman, Q
Chang, Y
Farooque, A.A
Schumann, A
Percival, D
Cheema, M
Esau, T.J
Slaeem, S
Zaman, Q.U
Madani, A
Schumann, A
Percival, D
Ahmad, H.N
Farooque, A.A
Khan, F
Bonfil, D.J
Herrmann, I
Pimstein, A
Karnieli, A
Herrmann, I
Pimstein, A
Karnieli, A
Cohen, Y
Alchanatis , V
Bonfil, D.J
Ahamed, T
Tian, L
Zhang, Y
Xiong, Y
Zhao, B
Jiang, Y
Ting, K
Rice, K
Carson, T
Krum, J
Flitcroft, I
Cline, V
Carrow, R
Cointault, F
Hijazi, B
Dubois, J
Vangeyte, J
Paindavoine, M
Stone, K
Bauer, P.J
Busscher, W.J
Millen, J.A
Evans, D.E
Strickland, E.E
Baghernejad, M
Emadi, M.M
Baghernejad, M
Emadi, M.M
Pravia, V
Terra, J.A
Roel
Bajwa, S
Nowatzki, J
Harnisch, W
Schatz, B
Anderson, V
Makkar, M.S
Kaul, A
Kumar, R
Sharma, A
Sekhon, B.S
Pannu, C.S
Kizer, E
Upadhyaya, S.K
Rojo, F
Ozmen, S
Ko-Madden, C
Zhang, Q
Pimstein, A
Zur, Y
Le Roux, M
Khot, L
Zhou, J
Boydston, R
Miklas, P.N
Porter, L
Xiongkui, H
Longlong, L
Jianli, S
Aijun, Z
Yajia, L
Ashrafi, Z.Y
Mashhadi, H.R
Sadeghi, S
Lee, J
song, S
Oh, S
Krishnaswamy, K
Sun, C
Adu-Gyamfi, Y
Topics
Remote Sensing Applications in Precision Agriculture
Sensor Application in Managing In-season Crop Variability
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Spatial Variability in Crop, Soil and Natural Resources
Engineering Technologies and Advances
Profitability, Sustainability, and Adoption
Modeling and Geo-statistics
Applications of UAVs (unmanned aircraft vehicle systems) in precision agriculture
Precision Nutrient Management
Proximal Sensing in Precision Agriculture
Remote Sensing Applications in Precision Agriculture
Unmanned Aerial Systems
Engineering Technologies and Advances
Precision Agriculture and Global Food Security
Type
Poster
Oral
Year
2012
2010
2014
2016
2008
2022
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Authors

Filter results21 paper(s) found.

1. Multi, Super Or Hyper Spectral Data, The Right Way From Research Toward Application In Agriculture

Remote sensing provides opportunities for diverse applications in agriculture. One consideration of maximizing the utility of these applications, is the need to choose the most efficient spectral resolution. Picking the optimal spectral resolutions (multi, super or hyper) for a specific application is also influenced by other factors (e.g., spatial and temporal resolutions) of the utilized device. This work focuses mainly on... D.J. Bonfil, I. Herrmann, A. Pimstein, A. Karnieli

2. Assessment Of Field Crops Leaf Area Index By The Red-edge Inflection Point Derived From Venus Bands

The red-edge region of leaves spectrum (700-800 nm) corresponds to the spectral region that connects the chlorophyll absorption in the red and the amplified reflectance caused by the leaf structure in the near infrared (NIR) parts of the spectrum. At the canopy level, the inflection point of the red-edge slope is influenced by the plant’s condition that is related to several properties, including Leaf Area Index (LAI) and plant nutritional status.... I. Herrmann, A. Pimstein, A. Karnieli, Y. Cohen, V. Alchanatis , D.J. Bonfil

3. Site-specific Management For Biomass Feedstock Production: Development Of Remote Sensing Data Acquisition Systems

Efficient biomass feedstock production supply chain spans from site-specific management of crops on field to the gate of biorefinery. Remote sensing data acquisition systems have been introduced for site-specific management, which is a part of the engineering solutions for biomass feedstock production. A stand alone tower remote sensing platform was developed to monitor energy crops using multispectral imagery. The sensing system was capable of collecting RGB and CIR images during the crop growing... T. Ahamed, L. Tian, Y. Zhang, Y. Xiong, B. Zhao, Y. Jiang, K. Ting

4. Spatial Mapping Of Penetrometer Resistance On Turfgrass Soils For Site-specific Cultivation

Site-specific management requires site-specific information.  Soil compaction at field capacity is a major stress on recreational turfgrass sites that requires frequent cultivation. Spatial mapping of penetrometer... K. Rice, T. Carson, J. Krum, I. Flitcroft, V. Cline, R. Carrow

5. New Power-leds Based Illumination System For Fertilizer Granule Motion Estimation

Environmental problems have become more and more pressing in the past twenty years particularly with the fertilization operation, one main contributor to environmental imbalance. The understanding of the global centrifugal spreading process, most commonly used in Europe, can contribute to provide essential information about fertiliser granule deposition on the soil. This last one can be predicted using a ballistic flight model and several fertilizer characteristic’s determination... F. Cointault, B. Hijazi, J. Dubois, J. Vangeyte, M. Paindavoine

6. Variable-rate Irrigation Management For Peanut Using Irrigator Pro

  Variable-rate irrigation has the potential to save substantial water. These water savings will become more important as urban, industrial, and environmental sectors compete with agriculture for available water. However, methodologies to precision-apply water for maximum agronomic and economic utility are needed.  Information is needed to optimally management variable-rate irrigation systems. In this study, we conducted irrigation experiments on peanut to compare... K. Stone, P.J. Bauer, W.J. Busscher, J.A. Millen, D.E. Evans, E.E. Strickland

7. Mapping Soil Salinity Using Cokriging Method In Arsanjan Plain, Southern Iran

  Salt-affected landscapes are highly sensitive to changes in climatic, edaphic and hydrological conditions in time and space in semi-arid regions such as Arsanjan plain, southern Iran. The objective of this study was to combine digital satellite data with ground based measurements of ECe by cokriging method to possibility improve the soil salinity maps of study area. Soil samples in the 85 sampling site (10187 ha)were collected from 0-30 cm depths, georefrenced using GPS receiver,... M.P. Baghernejad, M.M. Emadi

8. Spatial Variability Of Important Soil Characteristics In Semiarid Ecosystems, A Case Study In Arsanjan Plain, Southern Iran

Timely information on the content and distribution of key soil nutrients in highly calcareous ecosystems is vital to support precision agriculture. Efficient tools to measure within-field spatial variation in soil are important when establishing agricultural field trials and in precision farming. Therefore, soil samples were collected at 0-30 cm depth in highly calcareous soils (Arsanjan plain) and chemically analyzed for nitrate (NO3-), electrical... M.P. Baghernejad, M.M. Emadi

9. Does Pasture Longevity Under Direct Grazing Affect Field-scale Sorghum Yield Spatial Variability In Crop-pasture Rotation Systems?

Crop yield spatial variability is usually related to terrain attributes and soil properties. In pasture systems, soil properties are affected by animal grazing. However, soil and terrain attributes relation with crop yield variability has not been assessed in crop-pasture rotations.... V. Pravia, J.A. Terra, Roel

10. Spectral Models for Estimation of Chlorophyll Content, Nitrogen, Moisture Stress and Growth of Wheat Crop

  Field  experiments  were  conducted  during  2009-10  and  2010-11 at  research  farm  of the department of Farm Machinery and Power Engineering, Punjab Agricultural university, Ludhiana.  Three wheat ... B.S. Sekhon, J. Mukherjee, A. Sharma, S.K. Thind, R. Kaur, M.S. Makkar

11. Development of Ground Based Multi-source Crop Information Collection System.

Precision agriculture requires reliable technology to acquire accurate information on crop conditions. A ground-based integrated sensor and instrumentation system was developed to measure real-time crop conditions. The integration system included multispectral camera and N-sensor for real time Nitrogen application. The system was interfaced with a DGPS receiver to provide spatial coordinates for sensor readings. Before mounting of the sensors on modified paddy transplanter, different mountings... A. Sharma, M.S. Makkar, S. Gupta

12. Spot- Application of Pre-Emergence Herbicide Using a Variable Rate Sprayer in Wild Blueberry

Wild blueberry producers apply herbicides uniformly to control grasses and weeds without considering the significant weed density variability and bare spots within fields. The repeated and excessive use of herbicides... Q. Zaman, Y. Chang, A. Farooque, A. Schumann, D. Percival, M. Cheema, T. Esau

13. Impact of Variable Rate Fertilization on Nutrients Losses in Surface Runoff for Wild Blueberry Fields

Wild blueberry producers apply agrochemicals uniformly without considering substantial variation in soil properties, topographic features that may affect fruit yield within field. A wild blueberry field was selected to evaluate the impact of variable rate (VR) fertilization on nutrient losses in surface runoff from steep slope to low lying areas to improve crop... S. Slaeem, Q.U. Zaman, A. Madani, A. Schumann, D. Percival, H.N. Ahmad, A.A. Farooque, F. Khan

14. Verify The Effectiveness Of UAS-Mounted Sensors In Field Crop And Livestock Production Management Issues

This research project is a “proof-of-concept” demonstrating specific UAS applications in production agriculture. Project personnel will use UAS-mounted sensors to collect data of ongoing crop and livestock research projects during the 2014 crop season at the North Dakota State University (NDSU) Carrington Research Extension Center (CREC). Project personnel will collaborate with NDSU research scientists conducting research at the CREC. During the first year of the project... S. Bajwa, J. Nowatzki, W. Harnisch, B. Schatz, V. Anderson

15. Estimation Of Nitrogen And Chlorophyll Content In Wheat Crop Using Hand Held Sensors

A Field experiment was conducted to estimate crop nitrogen (N) status and chlorophyll content in wheat crop by using chlorophyll content meter(Apogee’s CCM-200) and N-Tester®  (Make YARA International). The experiment was conducted by sowing university recommended wheat variety viz. PBW 550 with 5 nitrogen levels i.e. 0, 30, 60, 90, 120 & 150 kg N/ha. It was found that at tillering stage when nitrogen rates were increased from 0 to 150 kg ha-1 , the... M.S. Makkar, A. Kaul, R. Kumar, A. Sharma, B.S. Sekhon, C.S. Pannu

16. Proximal Sensing of Leaf Temperature and Microclimatic Variables to Implement Precision Irrigation in Almond and Grape Crops

Irrigation decisions based on traditional soil moisture sensing often leads to uncertainty regarding the true amount of water available to the plant. Plant based sensing of water stress decreases this uncertainty. In specialty crops grown in California’s Central Valley, precision deficit irrigation based on plant water stress could be used to decrease water use and increase water use efficiency by supplying the necessary quantity of water only when it is needed by the plant. However, there... E. Kizer, S.K. Upadhyaya, F. Rojo, S. Ozmen, C. Ko-madden, Q. Zhang

17. Retrieving Crops' Quantitative Biophysical Parameters Through a Newly Developed Multispectral Sensor for UAV Platforms

Today’s intensive agricultural production needs to increase its efficiency in order to keep its profitability in the current market of decreasing prices on one hand, and to reduce the environmental impact on the other. Crop growers are starting to adopt side dressing nitrogen fertilization as part of their fertilization programs, for which they need accurate information about biomass development and nitrogen condition in the crop. This information is usually acquired through ground sampling,... A. Pimstein, Y. Zur, M. Le roux

18. Small UAS Integrated Sensing Tools for Abiotic Stress Monitoring in Irrigated Pinto Beans

Precision agriculture is a practical approach to maximize crop yield with optimal use of rapidly depleting natural resources. Availability of specific and high resolution crop data at critical growth stages is a key for real-time data driven decision support for precision agriculture management during the production season. The goal of this study was to evaluate the feasibility of using small unmanned aerial system (UAS) integrated remote sensing tools to monitor the abiotic stress of eight irrigated... L. Khot, J. Zhou, R. Boydston, P.N. Miklas, L. Porter

19. Design of VAV System of Air Assisted Sprayer in Orchard and Experimental Study in China

One type of new automatic target detecting based on size of canopy with variable chemical dosage and air-flow of fan orchard sprayer was designed and developed to meet the demand of chemical pest control in orchards. Canopy parameter data scanned by infrared sensors and LIDAR (Light Detection and Ranging) were used to detect the target and to design spraying algorithm and PWM (Pulse Width Modulation) control system. Four integrated five-finger atomizers were equipped on each side of sprayer, independent... H. Xiongkui, L. Longlong, S. Jianli, Z. Aijun, L. Yajia

20. Allelopathic Effects of Sunflower (Helianthus Annuus) on Germination and Growth of Wild Barley (Hordeum Spontaneum)

Sunflower [Helianthus annuus (L.) Koch.] contains watersoluble allelochemicals that inhibit the ermination and growth of other species. This characteristic could be used in weed management programmes. Greenhouse and laboratory experiments were conducted to determine the effects on wild barley (Hordeum spontaneum Koch.) germination and seedling growth of(i) preceding crops, (ii) fresh sunflower residue incorporation, and (iii) sunflower leaf, stem, flower and root water extract concentrations.... Z.Y. Ashrafi, H.R. Mashhadi, S. Sadeghi

21. Smart Food Oases: Development of a Distributed Point-to-point Urban Food Ecosystem in Food Desert Areas

Urban agriculture has been getting much attention in the past decade as a solution to overcome food insecurity and accessibility of food for urban residents and to have better green environments in cities. Urban agriculture is expected to provide better nutrients to residents, reduce transportation and environmental costs, and help urban dwellers access food efficiently. The present study is to build a collaborative ecosystem among urban growers/producers and create bridges from these farmers... J. Lee, S. Song, S. Oh, K. Krishnaswamy, C. Sun, Y. Adu-gyamfi