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Utpal Barman, Parismita Sarma, Mirzanur Rahman, Vaskar Deka, Swati Lahkar, Vaishali Sharma and Manob Jyoti Saikia
Invading pests and diseases always degrade the quality and quantity of plants. Early and accurate identification of plant diseases is critical for plant health and growth. This work proposes a smartphone-based solution using a Vision Transformer (ViT) mo...
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James Dahlgreen and Adam Parr
Rice provides ~20% of human dietary energy and, for many people, a similar share of their protein. Rice cultivation, however, produces significant greenhouse gas (GHG) emissions, comparable to those from the aviation sector. The main GHG from rice produc...
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Yogeswaranathan Kalyani, Liam Vorster, Rebecca Whetton and Rem Collier
In the last decade, digital twin (DT) technology has received considerable attention across various domains, such as manufacturing, smart healthcare, and smart cities. The digital twin represents a digital representation of a physical entity, object, sys...
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Sairoel Amertet Finecomess, Girma Gebresenbet and Hassan Mohammed Alwan
In an agricultural system, finding suitable watering, pesticides, and soil content to provide the right nutrients for the right plant remains challenging. Plants cannot speak and cannot ask for the food they require. These problems can be addressed by ap...
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Anastasios Michailidis, Chrysanthi Charatsari, Thomas Bournaris, Efstratios Loizou, Aikaterini Paltaki, Dimitra Lazaridou and Evagelos D. Lioutas
The penetration of precision agriculture technologies in agrifood systems generates the need for efficient upskilling programs targeted at farmers and other actors. A critical first step in this direction is to uncover the training needs of the actors in...
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Denan Zhao, Simon Cooper, Parmjit Chima, Guobin Wang, Lechun Zhang, Binshu Sun, Xuejian Zhang and Yubin Lan
Utilizing agricultural UAVs for pesticide and insecticide spraying is an effective measure for plant protection. However, achieving effective coverage on the back side of target is often challenging. To address this issue, this study combined a contact-c...
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Mengke Zhang, Xiaoguang Li, Ling Wang, Liujian Jin and Shubo Wang
The application of intelligent mobile robots in agriculture has emerged as a new research frontier, with the integration of autonomous navigation technology and intelligent agricultural robots being the key to the widespread adoption of smart agricultura...
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Panpan Liu, Dong Wang, Yue Li, Ji Liu, Yongxing Cui, Guopeng Liang, Chaoqun Wang, Chao Wang, Daryl L. Moorhead and Ji Chen
Although crop conversion from annual to perennial crops has been considered as one path towards climate-smart and resource-efficient agriculture, the effects of this conversion on soil multifunctionality and biomass yields remain unclear. The objective o...
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Hao-Ran Qu and Wen-Hao Su
Weeds and crops engage in a relentless battle for the same resources, leading to potential reductions in crop yields and increased agricultural costs. Traditional methods of weed control, such as heavy herbicide use, come with the drawback of promoting w...
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Qiufang Dai, Ziwei Chen, Guanfa Wu, Zhen Li, Shilei Lv and Weicheng Huang
Agricultural environments are usually characterized by height differences and tree shading, which pose challenges for communication in smart agriculture. This study focuses on optimizing the packet loss rate and power consumption of LoRa?s practical comm...
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