Yiannis Ampatzidis

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Harvest labor has became a prevailing cost in cherry and other Specialty Crops industry. We developed an integrated solution that provided real-time labor monitoring, payroll accrual, and labor-data-based analysis. At the core of our solution is a cloud-based information system that collects labor data from purposely designed labor monitoring devices, and(More)
Harvest costs are significant for tree fruit producers and, yet, not well studied. In this paper a prototype system for measuring harvest worker efficiency in sweet cherry (Prunus avium L.) is presented. This weighing system consists of a digital weighing platform compatible with standard commercial fruit bins and a data logger interfaced to a wireless(More)
It is proposed that radio frequency identification (RFID) technology be used to overcome the limitations of existing yield mapping systems for manual fresh fruit harvesting. Two methods are proposed for matching bins—containing harvested fruits—with corresponding pairs of trees. In the first method, a long-range RFID reader and a DGPS are mounted on an(More)
The execution of field operations by a fleet of cooperating machines needs to be carefully planned, in order to achieve maximum efficiency. Hence, it is necessary to describe these operations with mathematical models that can be used for optimal planning. The complexity of agricultural operations makes such modeling difficult. Important variables for(More)
In many European rural areas, agriculture is not only an economic activity, but it is strictly linked to environmental and social characteristics of the area. Thus, sometimes, a pathogen can become a social threat, as in the case of Xylella fastidiosa and olive trees (Olea europaea L.) in Salento. Fast and systemic response to threats represents the key to(More)
http://dx.doi.org/10.1016/j.compag.2016.01.032 0168-1699/ 2016 Elsevier B.V. All rights reserved. ⇑ Corresponding author at: Department of Physics and Engineering, California State University, Bakersfield 93311, CA, USA. E-mail addresses: yampatzidis@csub.edu (Y. Ampatzidis), litan@wsu.edu (L. Tan), ronald_haley@wsu.edu (R. Haley), mdwhiting@wsu.edu (M.D.(More)
Machine repair models play an important role in many applications including computer systems, maintenance operations, and manufacturing systems. In this paper the machine repair model was adapted to describe, analyze, and simulate an agricultural application: the bin loading process during manual harvest of two specialty crops – grapes in Greece and sweet(More)
ion-Level Fusion, is inspired by the work in Karpathy et al. (2014). In that work, a deep learning neural network is extended to process videos with three modes: early fusion, late fusion and slow fusion. In early fusion, frames are combined as input to the neural network. In late fusion, the additional video frames are injected into the first fully(More)