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Adel M. Al-Saif, Hosny F. Abdel-Aziz, Sobhy M. Khalifa, Ibrahim A. Elnaggar, Abd El-wahed N. Abd El-wahed, Mohammed H. Farouk and Ashraf E. Hamdy
Pruning is an essential practice that helps control branch growth, optimize fruit size, and enhance fruit tree productivity. This study focused on ?Valencia? orange trees, which had experienced a decline in productivity after being cultivated on reclaime...
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Long He and James Schupp
Pruning is one of the most important tree fruit production activities, which is highly dependent on human labor. Skilled labor is in short supply, and the increasing cost of labor is becoming a big issue for the tree fruit industry. Meanwhile, worker saf...
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Tushar Ganguli and Edwin K. P. Chong
We present a novel technique for pruning called activation-based pruning to effectively prune fully connected feedforward neural networks for multi-object classification. Our technique is based on the number of times each neuron is activated during model...
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Slawomir Swierczynski and Ilona Swierczynska
The aim of this experiment was to assess how the interaction of two treatments influenced the growth and flowering of two varieties of Panicle hydrangea shrubs. The first treatment was plant pruning. Simultaneously, the plants received one of the three f...
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Leila Ben Letaifa and Jean-Luc Rouas
Transformer models are being increasingly used in end-to-end speech recognition systems for their performance. However, their substantial size poses challenges for deploying them in real-world applications. These models heavily rely on attention and feed...
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Bin Zhang, Yudong Liu, Huiming Zhang, Congju Shen and Wei Fu
A shaping and pruning machine for jujube trees was developed in this study to address the difficulties of high intensity and low efficiency of artificial pruning for dwarf and densely planted jujube trees in Xinjiang. The key components of the machine we...
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Erna Sri Rahayu,Romi Satria Wahono,Catur Supriyanto
Pág. 91 - 97
C4.5 is a supervised learning classifier to establish a Decision Tree of data. Split attribute is main process in the formation of a decision tree in C4.5. Split attribute in C4.5 can not be overcome in any misclassification cost split so the effect on t...
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Cesar G. Pachon, Diego Renza and Dora Ballesteros
One of the strategies adopted to compress CNN models for image classification tasks is pruning, where some elements, channels or filters of the network are discarded. Typically, pruning methods present results in terms of model performance before and aft...
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Jinghan Wang, Guangyue Li and Wenzhao Zhang
The powerful performance of deep learning is evident to all. With the deepening of research, neural networks have become more complex and not easily generalized to resource-constrained devices. The emergence of a series of model compression algorithms ma...
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Teresa Rodríguez-Espinosa, Jose Navarro-Pedreño, Ignacio Gómez Lucas, María Belén Almendro Candel, Ana Pérez Gimeno and Antonis A. Zorpas
Member States of the European Union must ban burning arable stubble by 2023 and improve the recycling of organic waste into fertilizers and organic farming practices by 2030. The current lack of nutrients from soils and crops leads to food insecurity, hu...
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Eduardo von Bennewitz, Claudio Fredes, Tomas Losak, Carolina Martínez, Jaroslav Hlusek
Pág. 339 - 344
Fruit size is a very important quality attribute in cherry trees. Appropriate canopy and crop load management are, therefore, required to obtain an adequate balance between the yield and fruit size. A study was carried out during the 2007-2008 season ...
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Jihua Cui, Zhenbang Wang, Ziheng Yang and Xin Guan
As the number of layers of deep learning models increases, the number of parameters and computation increases, making it difficult to deploy on edge devices. Pruning has the potential to significantly reduce the number of parameters and computations in a...
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Shrutika S. Sawant, Marco Wiedmann, Stephan Göb, Nina Holzer, Elmar W. Lang and Theresa Götz
The success of the convolutional neural network (CNN) comes with a tremendous growth of diverse CNN structures, making it hard to deploy on limited-resource platforms. These over-sized models contain a large amount of filters in the convolutional layers,...
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Aung Zaw Oo, Shigeto Sudo, Khin Thuzar Win, Akira Shibata, Tomohito Sano and Yuhei Hirono
A laboratory incubation experiment is conducted for 90 days under controlled conditions where either pruning residue or its biochar is applied to determine which application generates the lowest amount of greenhouse gas from tea plantation soil. To study...
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Arkadiusz Dyjakon
The effective operation of machinery in agricultural processes is crucial in terms of energy efficiency, economic consequences, and environmental footprint. The agricultural sector provides many opportunities to bring biomass to the market. An interestin...
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Z. Y. Du,S. J. Xing,B. Y. Ma,F. C. Liu,H. L. Ma,Q. H. Wang
Pág. 236 - 246
When poplar trees planted at a high density are canopy-closed in plantation after 4-5 years of growth, the roots of adjacent trees will inevitably intermingle together, which possibly restricts the nutrient uptake by root system. Root pruning might stimu...
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Haojie Wang, Pingqing Fan, Xipei Ma and Yansong Wang
The intelligent identification of coal gangue on industrial conveyor belts is a crucial technology for the precise sorting of coal gangue. To address the issues in coal gangue detection algorithms, such as high false negative rates, complex network struc...
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Ricardo Landa, David Tovias-Alanis and Gregorio Toscano
This work proposes the use of a micro genetic algorithm to optimize the architecture of fully connected layers in convolutional neural networks, with the aim of reducing model complexity without sacrificing performance. Our approach applies the paradigm ...
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Adel M. Al-Saif, Moustafa A. Fahmy, Galal A. Baghdady, Ahmed M. Abd El-Razik, Elbaz A. Kabsha, Mohammed H. Farouk and Ashraf E. Hamdy
The Thompson Seedless (Sultanina) seedless variety of grapes is an important crop in Egypt, both for local consumption and export. In recent years, the H4 strain of this grape variety has gained popularity due to its high productivity. However, a drawbac...
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Sicong Liu, Qingcheng Fan, Chunjiang Zhao and Shuqin Li
Animal resources are significant to human survival and development and the ecosystem balance. Automated multi-animal object detection is critical in animal research and conservation and ecosystem monitoring. The objective is to design a model that mitiga...
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