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Chen, P.L
JANBAZIALAMDARI, S
Greene, J
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Authors
Chen , J
Chen, P.L
Zhao, J.C
Wang, S.Y
Li, J.C
Zhang, Q
Hu, T.H
Shi, G.L
Astillo, P
Maja, J
Greene, J
JANBAZIALAMDARI, S
Brokesh, E
Topics
Profitability, Sustainability and Adoption
Proximal Sensing in Precision Agriculture
Digital Agriculture Solutions for Soil Health and Water Quality
Type
Oral
Poster
Year
2016
2024
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1. Yield, Residual Nitrogen and Economic Benefit of Precision Seeding and Laser Land Leveling for Winter Wheat

Rapid socio-economic changes in China, such as land conversion and urbanization etc., are creating new scopes for application of precision agriculture (PA). It remains unclear the application effective and economic benefits of precision agriculture technologies in China. In this study, our specific goal was to analyze the impact of precision seeding and laser land leveling on winter wheat yield,... J. Chen , P.L. Chen, J.C. Zhao, S.Y. Wang, J.C. Li, Q. Zhang, T.H. Hu, G.L. Shi

2. Development of a Sensing Device for Detecting Defoliation in Soybean

Estimating defoliation by insects in an agricultural field, specifically soybean, is performed by manually removing multiple leaf samples, visually inspecting the leaves for feeding, and assigning a value representing a “best guess” at the level of leaf material missing. These estimates can require considerable time and are subjective. The goal of this study was to design a low-cost system containing light sensors and a microcontroller that could remotely record and report long-term... P. Astillo, J. Maja, J. Greene

3. Integrating Collected Field Machine Vibration Data with Machine Learning for Enhanced Precision in Agricultural Operations

In this research, we provide an innovative combination of the Agricultural Vibration Data Acquisition Platform (avDAQ) with cutting-edge machine learning methods for data collecting from agricultural machinery. The avDAQ system, which has a strong connection to a GPS sensor, provides precise spatial information to the vibration data that has been collected, providing an in-depth explanation of the locations of the vibrations. The objective is to fully utilize avDAQ's potential to extract detailed... S. Janbazialamdari, E. Brokesh