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Viator, R.P
Jonjak, A.K
Pham, F.H
Chung, S
Cranfield, G
Yoder, J
Patterson, C
Vincent, G
Coen, T
Tilly, N
Trevisan, R.G
Vona, V
Prabhudeva, D
Taylor, D
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Authors
Chung, S
Kim, K
Kim, H
Choi, J
Zhang, Y
Kang, S
Han, K
Hur, S
Chung, S
Huh, Y
Choi, J
Ryu, D
Kim, K
Kim, H
Kim, H
Chung, S
Kong, J
Huh, Y
Bae, K
Hur, S
Lee, D
Chae, Y
Chung, S
Kim, K
Huh, Y
Hur, S
Ha, S
Ryu, M
Kim, H
Han, K
Viator, R.P
Johnson, R.M
Cho, J
Cho, B
Chung, S
Price, R
Johnson, R.M
Viator, R.P
Jonjak, A.K
Adamchuk, V.I
Wortmann, C.S
Shapiro, C.A
Fergugson, R.B
Coen, T
De Baerdemaeker, J
Saeys, W
Chung, S
Yoo, H
Hong, S
Taylor, D
Morris, E
Clarke, A
Sunley, S
Hill, C
Cranfield, G
Kim, Y
Song, M
Chung , S
Kabir, M.S
Huh, Y
Huh, Y
Chung, S
Chae, Y
Lee, J
Kim, S
Choi, M
Jung, K
Choo, Y
Chung, S
Huh, Y
Kim, Y
Jang, S
Jung, K
Han, K
Chung, S
Canata, T.F
Molin, J.P
Colaço, A.F
Trevisan, R.G
Fiorio, P.R
Martello, M
Colaço, A.F
Molin, J.P
Trevisan, R.G
Rosell-Polo, J.R
Escolà, A
Lee, K
Chung, S
Lee, J
Kim, S
Kim, Y
Choi, M
Dr., N
T, S
giriyappa, M
D.C, H
PATIL, B
Prabhudeva, D
Kombali, G
Noorasma, S
Thimmegowda, M
Tilly, N
Trevisan, R.G
Eitelwein, M.T
Colaço, A.F
Molin, J.P
Sung, N
Chung, S
Kim, Y
han, K
Choi, J
Kim, J
Cho, Y
Jang, S
Eitelwein, M.T
Trevisan, R.G
Colaço, A.F
Vargas, M.R
Molin, J.P
Trevisan, R.G
Eitelwein, M.T
Ferraz, M.N
Tavares, T.R
Molin, J.P
Neves, D.C
Swe, K.M
Kim, Y
Jeong, D
Lee, S
Chung, S
Kabir, M.S
Seo, Y
Lee, W
Kim, Y
Chung, S
Jang, S
Bae, I
Ferraz, M.N
Trevisan, R.G
Eitelwein, M.T
Molin, J
Karp, F.H
Bhandari, S
Raheja, A
Chaichi, M.R
Green, R.L
Do, D
Ansari, M
Wolf, J.G
Espinas, A
Pham, F.H
Sherman, T.M
Kulmany, I.M
Benke, S
Bede, L
Pecze, R
Vona, V
Brorsen, W
Poursina, D
Patterson, C
Mieno, T
Edge, B
Nafziger, E.D
Islam, M
Yoder, J
Gan, H
Vincent, G
Kudenov, M
Balint-Kurti, P
Dean, R
Williams, C.M
Topics
Precision Horticulture
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change)
Spatial Variability in Crop, Soil and Natural Resources
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Profitability, Sustainability, and Adoption
Precision Livestock Management
Engineering Technologies and Advances
Sensor Application in Managing In-season CropVariability
Precision Horticulture
Engineering Technologies and Advances
Remote Sensing Applications in Precision Agriculture
Precision Horticulture
Precision Nutrient Management
Spatial Variability in Crop, Soil and Natural Resources
Proximal Sensing in Precision Agriculture
Precision Crop Protection
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Precision Horticulture
Applications of Unmanned Aerial Systems
Land Improvement and Conservation Practices
On Farm Experimentation with Site-Specific Technologies
Farm Animals Health and Welfare Monitoring
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2012
2010
2014
2016
2018
2022
2024
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Filter results33 paper(s) found.

1. Optical Based Sugarcane Yield Monitors

Several different optical sensors were investigated to detect sugarcane yield on a billet type sugarcane harvester. These sensors included an over-head optical sensor and a below-the-conveyor sensor. Both sensors indicated mass flow rate from a volume measurement of the cane on the conveyor slats. Both systems gave good results with linear line calibration equations and adjusted R-square values from 0.96 to 0.97. Weight wagon weights in the 0.6 to 1.6 metric ton range were estimated to 7.5% on... R. Price, R.M. Johnson, R.P. Viator

2. A Comparison Of Conventional And Sensor-based Lime Requirement Maps

Successful variable-rate applications of agricultural inputs, such as lime, rely on quality of input data. Systematic soil sampling is... A.K. Jonjak, V.I. Adamchuk, C.S. Wortmann, C.A. Shapiro, R.B. Fergugson

3. On-the-go Condition Mapping For Harvesting Machinery

In recent years control systems have been used to alleviate the task of harvesting machinery operators. Automation allows the operator to spend more time on other tasks such as coordinating transport. Moreover, such control systems guarantee constant performance throughout the day whereas an operator gets tired. The perfect control system anticipates on the harvest condition, just like an experienced operator would. The operator makes a visual assessment of the condition in terms of... T. Coen, J. De baerdemaeker, W. Saeys

4. Pa Adoption By A Korean Rice Farming Group: Case Study Of Pyeongtaek City

Research on precision agriculture (PA) has been conducted in Korea for about 10 years since 1999. Most of the research was focused on rice paddy fields that were flooded, flat, and small sized (e.g., 30 m x 100 m). Accomplishment during the period includes investigation on spatial variability in soil, crop growth, and yield properties, application of imported sensors and variable rate applicators, and development of Korean version of these sensors... S. Chung, H. Yoo, S. Hong

5. Gps Tracking Of Sheep To Investigate Shelter And Shade Use In Relation To Climatic Conditions

In Australia inclement weather contributes to losses of new-born lambs and recently-shorn sheep. Provision of forced shelter has been observed to reduce lamb losses by up to 10 percent and when given a choice, ewes preferentially seek shelter on offer for a period of approximately two weeks post shearing (Alexander et al. 1980). Given significant sheep losses can occur during adverse weather conditions a better understanding of sheep use of shelter and/or alternative ways of attracting sheep to... D. Taylor, , , , , ,

6. Attaching Multiple Conductivity Meters To An Atv To Speed Up Precision Agriculture Soil Surveys

Ground conductivity meters are used in a number of precision agriculture applications, including the estimation of water content, nutrient levels, salinity and depth of topsoil. Typically the Geonics EM38 conductivity meter, and to a lesser extent the EM31, are used for soil surveys. Most conductivity surveys involve towing a ground conductivity meter behind an all-terrain vehicle (ATV). In some situations, such as rutted or sloping fields, it is preferable to mount the conductivity meter directly... E. Morris, A. Clarke, S. Sunley, C. Hill, G. Cranfield

7. Remote Control System for Greenhouse Environment Using Mobile Devices

Protected crop production facilities such as greenhouse and plant factory have drawn interest and the area is increasing in Korea as well as in other countries in the world. Remote... S. Chung, K. Kim, H. Kim, J. Choi, Y. Zhang, S. Kang, K. han, S. Hur

8. Determination of Sensor Locations for Monitoring of Soil Water Content in Greenhouse

 Monitoring and control of environmental condition is highly important for optimum control of the conditions, especially in greenhouse and plant factor, and the condition... S. Chung, Y. Huh, J. Choi, D. Ryu, K. Kim, H. Kim, H. Kim

9. Evaluation of Photovoltaic Modules at Different Installation Angles and Times of the Day

Several electricity-consuming components for cooling and heating, illumination, ventilation, and irrigation are used to maintain proper environments of protected crop cultivation facilities. Photovoltaic system is considered as one of the most promising alternative power source for protected cultivation. Effects of environment,... S. Chung, J. Kong, Y. Huh, K. Bae, S. Hur, D. Lee, Y. Chae

10. Determination of Sensor Locations for Monitoring of Greenhouse Ambient Environment

In protected crop production facilities such as greenhouse and plant factory, f... S. Chung, K. Kim, Y. Huh, S. Hur, S. Ha, M. Ryu, H. kim, K. han

11. Spatial Variability of Sugarcane Yields in Relation to Soil Salinity in Louisiana

High soil salinity levels have been documented to negatively impact sugarcane yields.  Tests were conducted in commercial sugarcane fields in South Louisiana in 2009-2010 to determine if elevated soil salinity levels... R.P. Viator, R.M. Johnson

12. Variability in Soil Water Content and Sensor-Based Irrigation Scheduling for Protected Ginseng Production

Ginseng is one of important medicinal plants, especially in Asian countries including Korea. Korean ginseng is mostly grown in sun-block facility on ridges, and irrigation would be critical for better production. Conventionally no irrigation or timer-controlled irrigation based on experience was practiced, and variability of... J. Cho, B. Cho, S. Chung

13. Performance Evaluation Of Single And Multi-GNSS Receivers In Agricultural Field Conditions

Selection of appropriate receivers and utilization methods of positioning systems are important for better positioning in different applications of precision agriculture. Objective of this research was to evaluate the performance of single and multi-GNSS receivers at stationary and moving conditions in typical Korean agricultural sites such as open field, orchard area, and mountainous area A single-GNSS receiver (Model: R100; Hemisphere GNSS, Scottsdale, AZ, USA) and a multi-GNSS... Y. Kim, M. Song, S. Chung , M.S. Kabir, Y. Huh

14. Design And Construction Of An Ultrasonic Cutting Width Sensor For Full-Feed Type Mid-Sized Multi-Purpose Combines

Precision agriculture analyzes the spatial variability according to the characteristics of an optimum setting of agricultural materials. To raise the profitability of agriculture and to reduce the environmental impact, technological research and development of precision agriculture has been conducted. In Asian countries such as Japan... Y. Huh, S. Chung, Y. Chae, J. Lee, S. Kim, M. Choi, K. Jung

15. 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

16. Field Tests and Improvement of Sensor and Control Interface Modules with Improved Compatibility for Greenhouses

Number of greenhouses has been increased in many countries to control the cultivation conditions and improve crop yield and quality. Recently, various sensors and control devices, and also wireless communication tools have been adopted for efficient monitoring and control of the greenhouse environments. However, there have been farmers’ demands for improved compatibility among the sensors and control devices. In the study, sensor and control interface modules with improved compatibility... K. Han, S. Chung

17. Measuring Height of Sugarcane Plants Through LiDAR Technology

Sugarcane (Saccharum spp.) has an important economic role in Brazilian agriculture, especially in São Paulo State. Variation in the volume of plants can be an indicative of biomass which, for sugarcane, strongly relates to the yield. Laser sensors, like LiDAR (Light Detection and Ranging), has been employed to estimate yield for corn, wheat and monitoring forests. The main advantage of using this type of sensor is the capability of real-time data acquisition in a non-destructive way, previously... T.F. Canata, J.P. Molin, A.F. Colaço, R.G. Trevisan, P.R. Fiorio, M. Martello

18. Spatial Variability of Canopy Volume in a Commercial Citrus Grove

LiDAR (light detection and ranging) sensors have shown good potential to estimate canopy volume and guide variable rate applications in different fruit crops. Oranges are a major crop in Brazil; however the spatial variability of geometrical parameters remains still unknown in large commercial groves, as well as the potential benefit of sensor guided variable rate applications. Thus, the objective of this work was to characterize the spatial variability of the canopy volume in a commercial orange... A.F. Colaço, J.P. Molin, R.G. Trevisan, J.R. Rosell-polo, A. Escolà

19. Post Processing Software for Grain Yield Monitoring System Suitable to Korean Full-feed Combines

Precision agriculture (PA) has been adopted in many countries and crop and country specific technologies have been implemented for different crops and agricultural practices. Although PA technologies have been developed mainly in countries such as USA, Europe, Australia, where field sizes are large, need of PA technologies has been also drawn in countries such as Japan and Korea, where field sizes are relatively small (about 1 ha). Although principles are similar, design concept and practical... K. Lee, S. Chung, J. Lee, S. Kim, Y. Kim, M. Choi

20. Precision Nutrient Management Through Drip Irrigation in Aerobic Rice

A field experiment was conducted during kharif 2015 to asses the spatial variability and precision nutrient management through drip irrigation in aerobic rice at ZARS, GKVK, Bangalore. The experimental field has been delineated into 48 grids of 4.5 m x 4.5 m using geospatial technology. Soil samples from 0-15 cm depth were collected and analysed. There was spatial variability for available nitrogen (154 to 277 kg ha-1), phosphorous (45 to 152 kg ha-1) and potassium... N. Dr., S. T, M. Giriyappa, H. D.c, B. Patil, D. Prabhudeva, G. Kombali, S. Noorasma, M. Thimmegowda

21. In Season Estimation of Barley Biomass with Plant Height Derived by Terrestrial Laser Scanning

The monitoring of plant development during the growing season is a fundamental base for site-specific crop management. In this regard, the amount of plant biomass at a specific phenological stage is an important parameter to evaluate the actual crop status. Since biomass is directly only determinable with destructive sampling, methods of recording other plant parameters, such as crop height or density, which are suitable for reliable estimations are increasingly researched. Over the past two decades... N. Tilly

22. Sources of Information to Delineate Management Zones for Cotton

Cotton in Brazil is an input-intensive crop. Due to its cultivation in large fields, the spatial variability takes an important role in the management actions. Yield maps are a prime information to guide site-specific practices including delineation of management zones (MZ), but its adoption still faces big challenges. Other information such as historical satellite imagery or soil electrical conductivity might help delineating MZ as well as predicting crop performance. The objective of this work... R.G. Trevisan, M.T. Eitelwein, A.F. Colaço, J.P. Molin

23. Evaluation of a Sensor and Control Interface Module for Monitoring of Greenhouse Environment

Protected horticulture in greenhouses and plant factories has been increased in many countries due to the advantages of year-round production in controlled environment for improved productivity and quality. For protected horticulture, environmental conditions are monitored and controlled through wired and wireless devices. Various devices are used for monitoring and control of spatial and temporal variability in crop growth environmental conditions. Recently, various sensors and control devices,... N. Sung, S. Chung, Y. Kim, K. Han, J. Choi, J. Kim, Y. Cho, S. Jang

24. On-the-go Measurements of pH in Tropical Soil

The objective of this study was to assess the performance of a mobile sensor platform with ion-selective antimony electrodes (ISE) to determine pH on-the-go in a Brazilian tropical soil. The field experiments were carried out in a Cambisol in Piracicaba-SP, Brazil. To create pH variability, increasing doses (0, 1, 3, 5, 7 and 9 Mg ha-1) of lime were added on the experimental plots (25 x 10 m) one year before the data acquisitions. To estimate soil pH levels we used a Mobile Sensor Platform... M.T. Eitelwein, R.G. Trevisan, A.F. Colaço, M.R. Vargas, J.P. Molin

25. Optimum Spatial Resolution for Precision Weed Management

The occurrence and number of herbicide-resistant weeds in the world has increased in recent years. Controlling these weeds becomes more difficult and raises production costs. Precision spraying technologies have been developed to overcome this challenge. However, these systems still have relatively high acquisition cost, requiring studies of the relation between the spatial distribution of weeds and the economically optimum spatial resolution of the control method. In this context, the objective... R.G. Trevisan, M.T. Eitelwein, M.N. Ferraz, T.R. Tavares, J.P. Molin, D.C. Neves

26. Sensor Comparison for Yield Monitoring Systems of Small-Sized Potato Harvesters

Yield monitoring of potato in real time during harvesting would be useful for farmers, providing instant yield and income information. In the study, potentials of candidate sensors were evaluated with different yield measurement techniques for yield monitoring system of small-sized potato harvesters. Mass-based (i.e., load cell) and volume-based (i.e., CCD camera) sensors were selected and tested under laboratory conditions. For mass-based sensing, an impact plate instrumented with load cells... K.M. Swe, Y. Kim, D. Jeong, S. Lee, S. Chung, M.S. Kabir

27. Variability Analysis of Temperature and Humidity for Control Optimization of a Hybrid Dehumidifier with a Heating Module for Greenhouses

Protected horticulture using greenhouses and also recently plant factories is becoming more popular, especially for high-value crops such as paprika, tomato, strawberry, due to year-round production of high yield and better quality crops under controlled environment. Temperature and humidity are most important ambient environmental factors for not only optimum crop growth but also disease control. This study was conducted to analyze vertical and spatial variability of temperature and humidity... Y. Seo, W. Lee, Y. Kim, S. Chung, S. Jang, I. Bae

28. Soybean Plant Phenotyping Using Low-Cost Sensors

Plant phenotyping techniques are important to present the performance of a crop and it interaction with the environment. The phenotype information is important for plant breeders to analyze and understand the plant responses from the ambient conditions and the inputs offered for it. However, for conclusive analysis it is necessary a large number of individuals. Thus, phenotyping is the bottleneck of plant breeding, a consequence of the labor intensive and costly nature of the classical phenotyping.... M.N. Ferraz, R.G. Trevisan, M.T. Eitelwein, J. Molin, F.H. Karp

29. Effectiveness of UAV-Based Remote Sensing Techniques in Determining Lettuce Nitrogen and Water Stresses

This paper presents the results of the investigation on the effectiveness of UAV-based remote sensing data in determining lettuce nitrogen and water stresses. Multispectral images of the experimental lettuce plot at Cal Poly Pomona’s Spadra farm were collected from a UAV. Different rows of the lettuce plot were subject to different level of water and nitrogen applications. The UAV data were used in the determination of various vegetation indices. Proximal sensors used for ground-truthing... S. Bhandari, A. Raheja, M.R. Chaichi, R.L. Green, D. Do, M. Ansari, J.G. Wolf, A. Espinas, F.H. Pham, T.M. Sherman

30. The Effect of Slope Gradient on the Modelling of Soil Carbon Dioxide Emissions in Different Tillage Systems at a Farm Using Precision Tillage Technology in Hungary

Understanding the role of natural drivers in greenhouse gas (GHG) emitted by agricultural soils is crucial because it contributes to selecting and adapting acceptable eco-friendly farming practices. Hence, Syngenta Ltd. collaborating with researchers, aimed to investigate the effect of two tillage treatments, conventional-tillage (CT) and minimum-tillage (MT) on soil carbon dioxide (CO2) emissions. The research field is in Hungary. Soil columns were derived from different tillage systems... I.M. Kulmany, S. Benke, L. Bede, R. Pecze, V. Vona

31. Using Informative Bayesian Priors and On-farm Experimentation to Predict Optimal Site-specific Nitrogen Rates

Most U.S. Corn Belt states now recommend the Maximum Return to Nitrogen (MRTN) method for determining optimal nitrogen rates, which is based on 15 years of on-farm yield response to nitrogen trials. The MRTN method recommends a uniform rate for a region of a state. This study combines Illinois MRTN data, Bayesian methods, and on-farm experimentation from the Data Intensive Farm Management (DIFM) project to provide site-specific nitrogen recommendations. On-farm trials are now being used to provide... W. Brorsen, D. Poursina, C. Patterson, T. Mieno, B. Edge, E.D. Nafziger

32. Automatic Body Condition Score Classification System for Individual Beef Cattle Using Computer Vision

Body condition scoring (BCS) is a widely used parameter for assessing the utilization of energy reserves in the fat and muscle of cattle. It fulfills the needs of animal welfare and precision livestock farming by enabling effective monitoring of individual animals. It serves as a crucial parameter for optimizing nutrition, reproductive performance, overall health, and economic outcomes in beef cattle. The precise and consistent assessment of BCS relies on personal experience using visuals that... M. Islam, J. Yoder, H. Gan

33. Utilizing Hyperspectral Field Imagery for Accurate Southern Leaf Blight Severity Grading in Corn

Crop disease detection using traditional scouting and visual inspection approaches can be laborious and time-consuming. Timely detection of disease and its severity over large spatial regions is critical for minimizing significant yield losses. Hyperspectral imagery has been demonstrated as a useful tool for a broad assessment of crop health.  The use of spectral bands from hyperspectral data to predict disease severity and progression has been shown to have the capability of enhancing early... G. Vincent, M. Kudenov, P. Balint-kurti, R. Dean, C.M. Williams