Search Results - "Michael, J Justina"

SorghumWeedDataset_Classification and SorghumWeedDataset_Segmentation datasets for classification, detection, and segmentation in deep learning by Justina, Michael J., Thenmozhi, M.

“…The intuition behind this data acquisition is to encourage research for addressing the problem of weeds in agriculture through computer vision applications…”
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Survey on Weeding Tools, Equipment, AI-IoT Robots with Recent Advancements by Michael, J Justina, Thenmozhi, M

“…Agriculture is the backbone of many countries across the globe. Nevertheless, the challenges faced by farmers with an aim to provide quality food are enormous…”
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Outlier detection in maize field using Isolation Forest: A one-class classifier by Michael, J Justina, Thenmozhi, M

“…In agriculture, manual weed identification remains a challenge for farmers and agriculturalists. Recent technologies address the problem of weeds through…”
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Weed Identification and Removal: Deep Learning Techniques and Research Advancements by Michael, J Justina, Thenmozhi, M.

“…In the next three decades, crop production must be doubled as the population is likely to increase by 35 percent. To enhance crop production to a great extent,…”
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Optimizing Agricultural Irrigation through Real-Time Data Prediction by M, Thenmozhi, Subbiah, Priyanga, J, Justina Michael, Theobard, Rango

“…Sustainable agriculture requires the use of effective water management techniques to maximise agricultural production while also preserving resources…”
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HierbaNetV1: A novel convolutional neural network architecture by Justina, Michael J., Thenmozhi, M.

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