Search Results - "Biosystems engineering"

Identification and recognition of rice diseases and pests using convolutional neural networks by Rahman, Chowdhury R., Arko, Preetom S., Ali, Mohammed E., Iqbal Khan, Mohammad A., Apon, Sajid H., Nowrin, Farzana, Wasif, Abu

“…Accurate and timely detection of diseases and pests in rice plants can help farmers in applying timely treatment on the plants and thereby can reduce the…”
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Internet of Things in arable farming: Implementation, applications, challenges and potential by Villa-Henriksen, Andrés, Edwards, Gareth T.C., Pesonen, Liisa A., Green, Ole, Sørensen, Claus Aage Grøn

“…The Internet of Things is allowing agriculture, here specifically arable farming, to become data-driven, leading to more timely and cost-effective production…”
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Plant disease identification from individual lesions and spots using deep learning by Arnal Barbedo, Jayme Garcia

“…Deep learning is quickly becoming the standard technique for image classification. The main problem facing the automatic identification of plant diseases using…”
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Precision fish farming: A new framework to improve production in aquaculture by Føre, Martin, Frank, Kevin, Norton, Tomas, Svendsen, Eirik, Alfredsen, Jo Arve, Dempster, Tim, Eguiraun, Harkaitz, Watson, Win, Stahl, Annette, Sunde, Leif Magne, Schellewald, Christian, Skøien, Kristoffer R., Alver, Morten O., Berckmans, Daniel

“…Aquaculture production of finfish has seen rapid growth in production volume and economic yield over the last decades, and is today a key provider of seafood…”
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Internet of Things in agriculture, recent advances and future challenges by Tzounis, Antonis, Katsoulas, Nikolaos, Bartzanas, Thomas, Kittas, Constantinos

“…The increasing demand for food, both in terms of quantity and quality, has raised the need for intensification and industrialisation of the agricultural…”
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Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning by Wang, Dandan, He, Dongjian

“…The rapid and accurate detection of apple fruitlets before fruit thinning is important for the realization of early yield estimation and automatic fruit…”
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Robotic kiwifruit harvesting using machine vision, convolutional neural networks, and robotic arms by Williams, Henry A.M., Jones, Mark H., Nejati, Mahla, Seabright, Matthew J., Bell, Jamie, Penhall, Nicky D., Barnett, Josh J., Duke, Mike D., Scarfe, Alistair J., Ahn, Ho Seok, Lim, JongYoon, MacDonald, Bruce A.

“…As labour requirements in horticultural become more challenging, automated solutions are becoming an effective approach to maintain productivity and quality…”
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Factors influencing the use of deep learning for plant disease recognition by Barbedo, Jayme G.A.

“…Deep learning is quickly becoming one of the most important tools for image classification. This technology is now beginning to be applied to the tasks of…”
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Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy by Morellos, Antonios, Pantazi, Xanthoula-Eirini, Moshou, Dimitrios, Alexandridis, Thomas, Whetton, Rebecca, Tziotzios, Georgios, Wiebensohn, Jens, Bill, Ralf, Mouazen, Abdul M.

“…It is widely known that the visible and near infrared (VIS-NIR) spectroscopy has the potential of estimating soil total nitrogen (TN), organic carbon (OC) and…”
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Smart farming IoT platform based on edge and cloud computing by Zamora-Izquierdo, Miguel A., Santa, José, Martínez, Juan A., Martínez, Vicente, Skarmeta, Antonio F.

“…Precision Agriculture (PA), as the integration of information, communication and control technologies in agriculture, is growing day by day. The Internet of…”
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Plant species classification using deep convolutional neural network by Dyrmann, Mads, Karstoft, Henrik, Midtiby, Henrik Skov

“…Information on which weed species are present within agricultural fields is important for site specific weed management. This paper presents a method that is…”
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Agricultural robots for field operations: Concepts and components by Bechar, Avital, Vigneault, Clément

“…This review investigates the research effort, developments and innovation in agricultural robots for field operations, and the associated concepts, principles,…”
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Robotics and labour in agriculture. A context consideration by Marinoudi, Vasso, Sørensen, Claus G., Pearson, Simon, Bochtis, Dionysis

“…Over the last century, agriculture transformed from a labour-intensive industry towards mechanisation and power-intensive production systems, while over the…”
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A review on the main challenges in automatic plant disease identification based on visible range images by Barbedo, Jayme Garcia Arnal

“…The problem associated with automatic plant disease identification using visible range images has received considerable attention in the last two decades,…”
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Computer vision based detection of external defects on tomatoes using deep learning by da Costa, Arthur Z., Figueroa, Hugo E.H., Fracarolli, Juliana A.

“…Sorting machines use computer vision (CV) to separate food items based on various attributes. For instance, sorting based on size and colour are commonly used…”
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Faster R–CNN–based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting by Fu, Longsheng, Majeed, Yaqoob, Zhang, Xin, Karkee, Manoj, Zhang, Qin

“…Apples in modern orchards with vertical-fruiting-wall trees are comparatively easier to harvest and specifically suitable for robotic picking, where accurate…”
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Yield estimation in cotton using UAV-based multi-sensor imagery by Feng, Aijing, Zhou, Jianfeng, Vories, Earl D., Sudduth, Kenneth A., Zhang, Meina

“…Monitoring crop development and accurately estimating crop yield are important to improve field management and crop production. This study aimed to evaluate…”
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Human–robot interaction in agriculture: A survey and current challenges by Vasconez, Juan P., Kantor, George A., Auat Cheein, Fernando A.

“…Human–robot interaction (HRI) is an extensive and diverse research topic that has been gaining importance in last years. Different fields of study have used…”
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Parameters and contact models for DEM simulations of agricultural granular materials: A review by Horabik, Józef, Molenda, Marek

“…The discrete element method has been in development since 1970s and has recently found practical application in simulations of granular assemblies to…”
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Close range hyperspectral imaging of plants: A review by Mishra, Puneet, Asaari, Mohd Shahrimie Mohd, Herrero-Langreo, Ana, Lohumi, Santosh, Diezma, Belén, Scheunders, Paul

“…The increasing need to develop a rapid understanding of plant functional dynamics has led to the employment of sensor technology for non-destructive assessment…”
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