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He, Z
Hunt, L
Usui, K
Hassaballa, A.A
Hamza, N
Haghverdi, A
Yeager, E.A
Yang , W
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Authors
Yang , W
Kim, S
Moon, J
Kim, D
Jayasuriya, H.P
Zekri, S
Zaier, R
Al-buasidi, H
Teirab, A
Hamza, N
Umeda, H
Shibusawa, S
Li, Q
Usui, K
Kodaira, M
Shibusawa, S
Umeda, H
Usui, K
Kodaira, M
Li, Q
Haghverdi, A
Leib, B.G
Al-Gaadi, K
Hassaballa, A.A
Tola, E
Madugundu, R
Kayad, A.G
Griffin, T.W
Yeager, E.A
He, Z
Manoj, K
Zhang, Q
Kshetri, S
Hunt, L
Everett, M
Shovic, J
Topics
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change, Standards)
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Proximal Sensing in Precision Agriculture
Precision Agriculture and Global Food Security
Profitability and Success Stories in Precision Agriculture
Big Data, Data Mining and Deep Learning
Wireless Sensor Networks and Farm Connectivity
Type
Poster
Oral
Year
2014
2018
2022
2024
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Filter results9 paper(s) found.

1. Design Of ECU Monitoring System For Agricultural Vehicle Based On ISO 11783

International standard for implementation of electronic control unit (ECU) in agricultural tractors has been requirement for inter-operation compatibility of various agricultural vehicles. The ISO 11783 standard is basically based on  communication technology designated using the controller area network (CAN), it is typical standard technology for implementation of ECU in agricultural vehicle. CAN bus Communication system was developed to the distribution control of ECUs to... W. Yang , S. Kim, J. Moon, D. Kim

2. Evaluation Of A Sensor-Based Precision Irrigation System For Efficiency And To Monitor And Control Groundwater Over-Pumping In Oman

Oman is a country with a total area of 309,500 km2. However, cultivable land in Oman is estimated to be less than 2%, which amounts to about 6100 km2. More than 50 percent of the arable lands located in the northern coastal belt of Al Batinah region. The country with average annual rainfall around 100 mm, has limited natural fresh water resources and has been facing the serious problem of sea water intrusion into the scarce groundwater reserves due to undisciplined... H.P. Jayasuriya, S. Zekri, R. Zaier, H. Al-buasidi, A. Teirab, N. Hamza

3. 3D Map in the Depth Direction of Field for Precision Agriculture

 By a change in eating habits with economic development and the global population growth, we have been faced with the need for increased food production again. In order to solve the food problem in the future, the introduction of agriculture organization is progressing in emerging countries as well as developed countries. However, the occurrence of natural disasters and abnormal weather, which is becoming a worldwide problem at present, is further weakening the crops of farm... H. Umeda, S. Shibusawa, Q. Li, K. Usui, M. Kodaira

4. Using A Potable Spectroradiometer For In-Situ Measurement Of Soil Properties In A Slope Citrus Field

     In precision agriculture, rapid, non-destructive, cost-effective and convenient soil analysis techniques are needed for crop and soil management. However, the spatial variability of soil properties is consider to be high cost and time consuming to characterize using traditional soil analysis method. To achieve cost and time reduction, the potential benefits of in-situ measurement of soil spectra have been recognized.     ... S. Shibusawa, H. Umeda, K. Usui, M. Kodaira, Q. Li

5. Introducing An Integrated Framework To Optimize Cotton Variable Rate Irrigation In Humid Regions

Management of supplemental irrigation in humid regions is critical because both over and under estimation of the irrigation water requirement can cause cotton lint yield reduction. Spatial variation of the soil physical characteristics is significant in west Tennessee hence precision irrigation strategies should be applied to achieve the optimum lint yield. Despite the significant enhancement in instrumentation and measurements, there are several challenges that need to... A. Haghverdi, B.G. Leib

6. Applying a Bivariate Frequency Ratio Technique for Potato High Yield Susceptibility Mapping

Spatial variation of soil characteristics and vegetation conditions are viewed as the most important indicators of crop yield status. Therefore, this study was designed to develop a crop yield prediction model through spatial autocorrelation between the actual yield of potato (Solanum tuberosum L.) crop and selected yield status indicators (soil N, EC, pH, texture and vegetation condition), where the vegetation condition was represented by the cumulative normalized difference vegetation index... K. Al-gaadi, A.A. Hassaballa, E. Tola, R. Madugundu, A.G. Kayad

7. Adoption of Precision Agriculture Technology: A Duration Analysis

Precision agriculture technologies have been available for adoption and utilization at the farm level for several decades. Some technologies have been readily adopted while others were adopted more slowly. An analysis of 621 Kansas Farm Management Association (KFMA) farmer members provided insights regarding adoption, upgrading, and abandonment of technology. The likelihood that farms adopt specific technology given that other technology had been adopted... T.W. Griffin, E.A. Yeager

8. Real-time Detection of Picking Region of Ridge Planted Strawberries Based on YOLOv5s with a Modified Neck

Robotic strawberry harvesting requires machine vision system to have the ability to detect the presence, maturity, and location of strawberries. Strawberries, however, can easily be bruised, injured, and even damaged during robotic harvest if not picked properly because of their soft surfaces. Therefore, it is important to cut or pick the strawberry stems instead of picking the fruit directly. Additionally, real-time detection is critical for robotic strawberry harvesting to adapt to the changing... Z. He, K. Manoj, Q. Zhang, S. Kshetri

9. Recovery Mechanism for Real-time Precision Agriculture Sensor Networks: a Case Study

Variable rate technologies are lagging behind other precision agriculture technologies in terms of farmer adoption, and sensor networks have been identified as a necessary step to implement these improvements. However, sensor networks face many issues in terms of cost, flexibility, and reliability. In rugged outdoor environments, it cannot be assumed that a sensor network will maintain constant connectivity to a monitoring interface, even if data is still being collected onsite. This paper presents... L. Hunt, M. Everett, J. Shovic