Proceedings

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Nugent, C.I
Mclure, B
Montero Pinilla, O.G
Massey, R.E
Molin, J.P
McPherson, T
Martin, D.L
Mosmen, E.W
Mosquera, C
McLaren, A
Nwakwasi, R.N
Mariano, E
Nowatzki, J
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Authors
Ashley, R
Nowatzki, J
Amaral, L.R
Molin, J.P
Taubinger, L
Asiabaka, C.C
Adesope, M.O
Ifeanyi- Obi, C.C
Nwakwasi, R.N
Nnadi, F
Matthews- Njoku, E.C
Chikaire, J
Denton, A.M
Mosmen, E.W
Xu, J.X
Nowatzki, J
Brase, T
Moss, J.Q
Bell, G.E
Solie, J.B
Stone, M.L
Martin, D.L
Payton, M.E
Sivarajan, S
Bajwa, S
Nowatzki, J
Bajwa, S
Nowatzki, J
Harnisch, W
Schatz, B
Anderson, V
Nowatzki, J
Bajwa, S
Sivarajan, S
Maharlooei, M
Kandel, H
Kolln, O.T
Sanches, G.M
Rossi Neto, J
Castro, S.G
Mariano, E
Otto, R
Inamasu, R
Magalhães, P.S
Braunbeck, O.A
Franco, H.C
Schepers, J.S
Mclure, B
Swanson, G
Shirzadi, A
Maharlooei, M
hassanijalilian, O
Bajwa, S
Howatt, K
Sivarajan, S
Nowatzki, J
Nowatzki, J
Bajwa, S
Roberts, D
Ossowski, M
Scheve, A
Johnson, A
Chaplin, Y
Maharlooei, M
Bajwa, S
Mireei, S.A
Shirzadi, A
Sivarajan, S
Berti, M
Nowatzki, J
Rasmussen, P
Nowatzki, J
Yost, M.A
Kitchen, N.R
Sudduth, K.A
Drummond, S.T
Massey, R.E
Laamrani, A
Berg, A
March, M
McLaren, A
Martin, R
Filippi, P
Bishop, T
Al-Shammari, D
McPherson, T
Mosquera, C
Scudiero, E
Nugent, C.I
Ng, C
Jones, N
Azzam, T
Salunga, N.G
Lemus, S
Rubaino Sosa, S.A
Cristancho Rojas, O.Y
Leon Rueda, W.A
Montero Pinilla, O.G
Roa Bello, J.C
Lizarazo Salcedo, I.A
Martinez Martinez, L.J
Erazo, E
Mosquera, C
Ochoa, O
Topics
Information Management and Traceability
Proximal Sensing in Precision Agriculture
Food Security and Precision Agriculture
Spatial Variability in Crop, Soil and Natural Resources
eXtension: Precision Agriculture on the Internet
Precision Horticulture
Precision Conservation Management
Applications of UAVs (unmanned aircraft vehicle systems) in precision agriculture
Sensor Application in Managing In-season CropVariability
Precision Nutrient Management
Remote Sensing Applications in Precision Agriculture
Unmanned Aerial Systems
Proximal Sensing in Precision Agriculture
Education and Training in Precision Agriculture
Profitability and Success Stories in Precision Agriculture
Applications of Unmanned Aerial Systems
Decision Support Systems
Profitability and Success Stories in Precision Agriculture
Education of Precision Agriculture Topics and Practices
Scouting and Field Data collection with Unmanned Aerial Systems
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2012
2010
2014
2016
2008
2018
2024
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Filter results22 paper(s) found.

1. Extension: Precision Ariculture On The Internet

This session will include an overall description of the new eXtension precision agriculture Web site. eXtension is an interactive learning environment delivering the best, most researched knowledge from land-grant university  across America. Session participants will learn about the Website, and how to participate in the continued site development. The precision agriculture eXtension Web site is a virtual platform for engagement... J. Nowatzki, T. Brase

2. Development Of A Precision Sensing Sprayer For The Application Of Nitrogen Fertilizer To Turfgrass

  Normalized difference vegetation index (NDVI) may be very useful for turfgrass managers to measure turf quality and obtain an indirect measurement of turf N status. The objective of this research was to develop a Nitrogen Fertilization Optimization Algorithm (NFOA) for use in a turfgrass variable rate N applicator on bermudagrass [Cynodon dactylon (L.) Pers] fairways and creeping bentgrass (Agrostis stolonifera L.) greens in Oklahoma. Plots (0.9 X 1.5 m)... J.Q. Moss, G.E. Bell, J.B. Solie, M.L. Stone, D.L. Martin, M.E. Payton

3. Using Electronic Technology to Remotely Monitor Conditions, Transfer the Data, and Display Data Real-time on the Internet

This session describes the use of electronic equipment to monitor soil temperature and moisture, air temperature, relative humidity, wind speed, solar radiation, leaf wetness, and rainfall. Presenter will explain how to use the equipment to monitor conditions, transfer the data, and display the information in real-time on the Internet.... R. Ashley, J. Nowatzki

4. Vegetation Indices from Active Crop Canopy Sensor and Their Potential Interference Factors on Sugarcane

Among the inputs usually used in the sugarcane production the nitrogen (N) is the most significant. With the use of ground-based canopy sensors to obtain vegetation indexes (VI), it is possible to obtain recommendations of nutrient supply in... L.R. Amaral, J.P. Molin, L. Taubinger

5. Enhancing Farmers' Indigenous Knowledge Management in Cassava Varietal Trial Using Agro Ecosystem Analysis, Farmers' Drama Group and Animations in Eastern part of Nigeria.

Researchers continue to come up with new varieties but farmer perspectives and preferences are very important factors for new varieties to spread in farmers’ communities. Researcher priorities alone are not enough. A variety may be ‘scientifically perfect... C.C. Asiabaka, M.O. Adesope, C.C. Ifeanyi- obi, R.N. Nwakwasi, F. Nnadi, E.C. Matthews- njoku, J. Chikaire

6. Measurement of Systematic Errors in Crop Prediction

Precision agriculture typically attempts to answer grower questions using an increasingly more fine-grained analysis.  However, some entities, such as cooperatives, can have an interest in answers that are spatially course-grained, such as obtaining an estimate of the overall crop production within a season.  Errors in factors that most influence fine-grained predictions, such as soil quality, may have a smaller impact on overall yield forecasts since their effect is likely to average... A.M. Denton, E.W. Mosmen, J.X. Xu

7. Soil Compaction: Impact Of Tractor And Equipment On Corn Growth, Development And Yield

This project looks at the impact of soil compaction on corn emergence, growth and development, and yield. This is a two-year study, begun in the in the spring of 2013, it will be completed after the 2014 growing season. Corn was produced in the field both years.   The project hypotheses are to: 1) Soil compaction does impact corn growth, development and yield; 2) Soil compacted in the fall season by farm equipment is measurable the following... S. Sivarajan, S. Bajwa, J. Nowatzki

8. 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

9. Evaluation Of In-Field Sensors To Monitor Nitrogen Status In Soybean

In recent years, active optical crop sensors have been gaining importance to determine in-season nitrogen (N) fertilization requirements for on-the-go variable rate application.  Although most of these active in-field crop sensors have been evaluated in corn and wheat crops, they have not yet been evaluated in soybean production systems in North Dakota. Recent research from both South Dakota and North Dakota indicate that in-season N application in soybean can increase soybean yield... J. Nowatzki, S. Bajwa, S. Sivarajan, M. Maharlooei, H. Kandel

10. Optical Sensors To Predict Nitrogen Demand By Sugarcane

The low effectiveness of nitrogen (N) from fertilizer is a substantial concern in worldwide which has been threatening the sustainability of sugarcane production. The increment of nitrogen use efficiency (NUE) by sugarcane genotypes associated to the best practices of fertilizer management and nutritional diagnosis methods have higher potential to reduce environment impacts of nitrogen fertilization. Due to the difficult to determine N status in soil test as well as there is not... O.T. Kolln, G.M. Sanches, J. Rossi neto, S.G. Castro, E. Mariano, R. Otto, R. Inamasu, P.S. Magalhães, O.A. Braunbeck, H.C. Franco

11. Beyond The 4-Rs Of Nutrient Management In Conjunction With A Major Reduction In Tillage

Agribusiness and government agencies have embraced the 4-R concept (right form, rate, time, and place) to improve nutrient management and environmental quality. No-tillage... J.S. Schepers, B. Mclure, G. Swanson

12. Greenhouse Study to Identify Glyphosate-resistant Weeds Based on Canopy Temperature

Development of herbicide-resistant crops has resulted in significant positive changes to agronomic practices, while repeated and intensive use of herbicides with the same mechanisms of action has caused the development of herbicide-resistant weeds. As of 2015, 35 weed species are reported to be resistant to glyphosate worldwide. A greenhouse study was conducted to identify characteristics which can be helpful in field mapping of glyphosate resistant weeds by using UAV imagery. The experiment included... A. Shirzadi, M. Maharlooei, O. Hassanijalilian, S. Bajwa, K. Howatt, S. Sivarajan, J. Nowatzki

13. Large-scale UAS Data Collection, Processing and Management for Field Crop Management

North Dakota State University research and Extension personnel are collaborating with Elbit Systems of America to compare the usefulness and economics of imagery collected from a large unmanned aircraft systems (UAS), small UAS and satellite imagery. Project personnel are using a large UAS powered with an internal combustion engine to collect high-resolution imagery over 100,000 acres twice each month during the crop growing season. Four-band multispectral Imagery is also being collected twice... J. Nowatzki, S. Bajwa, D. Roberts, M. Ossowski, A. Scheve, A. Johnson, Y. Chaplin

14. Vis/NIR Spectroscopy to Estimate Crude Protein (CP) in Alfalfa Crop: Feasibility Study

The fast and reliable quality determination of alfalfa crop is of interest for producers to make management decisions, the dealers to determine the price, and the dairy producers for livestock management. In this study, the crude protein (CP), one of the main quality indices of alfalfa, was estimated using the visible and near-infrared (Vis/NIR) spectroscopy. A total of 68 samples from various variety trials of alfalfa crop were collected under the irrigated and rainfed conditions. The diffuse... M. Maharlooei, S. Bajwa, S.A. Mireei, A. Shirzadi, S. Sivarajan, M. Berti, J. Nowatzki

15. Map@Syst – Geospatial Solutions for Rural and Community Sustainability

Map@Syst is a part of the USDA Cooperative State Research, Education and Extension Service (CSREES) eXtension online Web information service. eXtension is an educational partnership of more than 70 universities to provide online access to objective, research-based information and educational opportunities. Map@Syst is a Wiki-based Web site assembled and maintained cooperatively by geospatial technology educational specialists and practitioners. Map@Syst is a primary source of geospatial information... P. Rasmussen, J. Nowatzki

16. A Long-Term Precision Agriculture System Maintains Profitability

After two decades of availability of grain yield-mapping technology, long-term trends in field-scale profitability for precision agriculture (PA) systems and conservation practices can now be assessed. Field-scale profitability of a conventional or ‘business-as-usual’ system with an annual corn (Zea mays L.)-soybean (Glycine max [L.]) rotation and annual tillage was assessed for 11 years on a 36-ha field in central Missouri during 1993 to 2003. Following this, a ‘precision agriculture... M.A. Yost, N.R. Kitchen, K.A. Sudduth, S.T. Drummond, R.E. Massey

17. Use of UAV Acquired Imagery As a Precision Agriculture Method for Measuring Crop Residue in Southwestern Ontario, Canada

Residue management on agriculture land is a practice of great importance in southwestern Ontario, where soil management practices have an important effect on Great Lakes water quality. The ability of tillage or planting system to maintain soil residue cover is currently measured by using one or more of the common methods, line transect (e.g. knotted rope, Meter stick) and photographic (grid, script, and image analysis) methods. Each of these techniques has various advantages and disadvantages;... A. Laamrani, A. Berg, M. March, A. Mclaren, R. Martin

18. Are Pulses Really More Variable Than Cereals? a Country-wide Analysis of Within-field Variability

In Australia, pulses are underutilised by growers relative to cereal crops. There is significant global interest in growing pulses to provide more plant protein, and they also provide a string of agronomic and environmental benefits, such as their ability to fix nitrogen, and provide a pest and disease break for cereal crops. Many studies attribute this underutilisation to pulses exhibiting greater within-field yield variability than cereals. However, this has never been comprehensively examined... P. Filippi, T. Bishop, D. Al-shammari, T. Mcpherson

19. Integration of Precision Agriculture Tools for Variety Optimization and Crop Management Focused on Increasing Productivity in Sugarcane

The offer of precision agriculture tools has increased its popularity in sugarcane, clearly reading needs in the crop. However, obtaining more conclusive results presents difficulties mainly due to the deficiency in the integration of technological tools. The objective of the work is to show an efficient model of use and running of precision agriculture tools that consistently improve planning and agronomic and administrative decision-making that lead to superior results. The importance of this... C. Mosquera

20. Cultivating Future Leaders in Sustainable Agriculture: Insights from the Digital Agriculture Fellowship Program at the University of California, Riverside

Funded by USDA's National Institute of Food and Agriculture’s Sustainable Agricultural Systems Program and housed at the University of California, Riverside (UCR), the Digital Agriculture Fellowship (DAF) aims at equipping undergraduate students with the knowledge and experience necessary to meet the agricultural challenges posed by climate change and sustainability concerns. The program was established in 2020 and will be funded through 2026. Activities span over fifteen months for... E. Scudiero, C.I. Nugent, C. Ng, N. Jones, T. Azzam, N.G. Salunga, S. Lemus

21. Spectral Response of Six Treatments of Soil Fertilization in Potato (Solanum tuberosum L.) Var. Diacol Capiro with UAS

In Colombia, potato cultivation occupies the third place among the transient crops in the country, covering approximately 160,000 hectares. It holds the first place in terms of production value, reaching US $500 million, and ranks as the second crop with the highest demand for fertilizers, constituting 20% of production costs. The departments of Cundinamarca, Boyacá, Nariño, and Antioquia are the primary potato producers, accounting for 87.8% of the total production. Traditional... S.A. Rubaino sosa, O.Y. Cristancho rojas, W.A. Leon rueda, O.G. Montero pinilla, J.C. Roa bello, I.A. Lizarazo salcedo

22. RMAPs: an Integrated Tool to Delimitate Homogeneous Management Zones

Management zones are one of the most studied methods in precision agriculture to optimize crop yield from the soil, plant, management, and climate input parameters. We present Rmaps, an R package that integrates soil and crop yield spatial variability using geostatistical methods and one-hidden-layer perceptron (OHLP) to identify how input parameters influence crop yield and delimitate homogenous zones. From georeferenced data of soil, plant, management, climate, and crop yield parameters, Rmaps... E. Erazo, C. Mosquera, O. Ochoa