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09/21/2023
Crop Row Switching for Vision-Based Navigation: A Comprehensive Approach for Efficient Crop Field Navigation
Vision-based mobile robot navigation systems in arable fields are mostly...
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08/09/2023
Advancing Early Detection of Virus Yellows: Developing a Hybrid Convolutional Neural Network for Automatic Aphid Counting in Sugar Beet Fields
Aphids are efficient vectors to transmit virus yellows in sugar beet fie...
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06/09/2023
Leaving the Lines Behind: Vision-Based Crop Row Exit for Agricultural Robot Navigation
Usage of purely vision based solutions for row switching is not well exp...
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10/20/2022
Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming
Weed and crop segmentation is becoming an increasingly integral part of ...
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09/28/2022
Vision based Crop Row Navigation under Varying Field Conditions in Arable Fields
Accurate crop row detection is often challenged by the varying field con...
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04/04/2022
Towards Infield Navigation: leveraging simulated data for crop row detection
Agricultural datasets for crop row detection are often bound by their li...
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11/23/2021
In-field early disease recognition of potato late blight based on deep learning and proximal hyperspectral imaging
Effective early detection of potato late blight (PLB) is an essential as...
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11/04/2021
Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model
Tea chrysanthemum detection at its flowering stage is one of the key com...
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09/22/2021
Towards practical object detection for weed spraying in precision agriculture
The evolution of smaller, faster processors and cheaper digital storage ...
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09/16/2021