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Robert P. Larkin
The impacts of two different cover crop (CC) strategies, as well as compost, silicon (Si), and biocontrol (BC) soil amendments were evaluated on soil chemical and biological properties, crop development and yield, and disease and pest issues in organic v...
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Junlin Lou, Burak Yuksek, Gokhan Inalhan and Antonios Tsourdos
In this study, we consider the problem of motion planning for urban air mobility applications to generate a minimal snap trajectory and trajectory that cost minimal time to reach a goal location in the presence of dynamic geo-fences and uncertainties in ...
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Gang Tang, Chenyuan Wang, Zhao Zhang and Shaoyang Men
Container terminal yards are automated terminal yards. The rail-mounted gantry crane (RMGC) and rail-mounted gantry crane tracks (RMGCTs) that frequently operate in terminal yards need to be inspected regularly to ensure the safe operation of container t...
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Mansour Bayazidy, Mohammad Maleki, Aras Khosravi, Amir Mohammad Shadjou, Junye Wang, Rabee Rustum and Reza Morovati
River water is one of the most important natural resources for economic development and environmental sustainability. However, river water systems are vulnerable in some of the densely populated regions across the globe. Intense sand mining and waste dis...
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Chuanxing Du, Weiquan Fang, Dianlei Han, Xuegeng Chen and Xinzhong Wang
In order to reduce ground drop loss during mechanical pepper picking and improve the net recovery rate, a drum snap finger picking device was designed. The picking device is mainly composed of a picking drum and auxiliary picking components; the picking ...
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Giulio Flavio Rizzo, Nicolas Al Achkar, Simone Treccarichi, Giuseppe Malgioglio, Matteo Giuseppe Infurna, Sebastian Nigro, Alessandro Tribulato and Ferdinando Branca
The use of beneficial microorganisms, such as plant growth promoting rhizobacteria (PGPR) and mycorrhizal fungi, for organic farming could improve the productivity and the resilience of vegetable crops. Both PGPR and PGPF are allowed for organic farming,...
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Yongjie Ma, Peng Ping and Quan Shi
Path planning is one of the key technologies for unmanned driving. However, global paths are unable to avoid unknown obstacles, while local paths tend to fall into local optimality. To solve the problem of unsmooth and inefficient paths on multi-angle ro...
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Kaveh Ghahraman, Balázs Nagy and Fatemeh Nooshin Nokhandan
We utilized the random forest (RF) machine learning algorithm, along with nine topographical/morphological factors, namely aspect, slope, geomorphons, plan curvature, profile curvature, terrain roughness index, surface texture, topographic wetness index ...
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Juan V. Molner, Juan M. Soria, Rebeca Pérez-González and Xavier Sòria-Perpinyà
Water transparency, a crucial environmental indicator, was assessed during fieldwork via Secchi disk depth (ZSD) measurements. Three optical models (R490/R560, R490/R705, and R560/R705) were explored to establish a robust algorithm for ZSD estimation. Th...
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Pramod Abichandani, Deepan Lobo, Meghna Muralidharan, Nathan Runk, William McIntyre, Donald Bucci and Hande Benson
This work demonstrates distributed motion planning for multi-rotor unmanned aerial vehicle in a windy outdoor environment. The motion planning is modeled as a receding horizon mixed integer nonlinear programming (RH-MINLP) problem. Each quadrotor solves ...
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