Essays about: "weed detection"
Showing result 1 - 5 of 9 essays containing the words weed detection.
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1. Improving segmentation of agricultural patterns in aerial imagery using near-infrared images
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Climate change and loss of biodiversity are currently two of the most imminent global threats caused in part by agricultural practices. With the rise of computer vision, the use of precision farming has become a viable technique to optimise food production. READ MORE
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2. Examining Difficulties in Weed Detection
University essay from Linköpings universitet/DatorseendeAbstract : Automatic detection of weeds could be used for more efficient weed control in agriculture. In this master thesis, weed detectors have been trained and examined on data collected by RISE to investigate whether an accurate weed detector could be trained on the collected data. READ MORE
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3. Weed Detection in UAV Images of Cereal Crops with Instance Segmentation
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Modern weeding is predominantly carried out by spraying whole fields with toxic pesticides, a process that accomplishes the main goal of eliminating weeds, but at a cost of the local environment. Weed management systems based on AI solutions enable more targeted actions, such as site-specific spraying, which is essential in reducing the need for chemicals. READ MORE
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4. Assessing the suitability of using Sentinel-1A SAR multi-temporal imagery to detect fallow periods between rice crops
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Fallow, understood as a period where no crop is cultivated during a growing season, is an important crop management practice. Fallow plays an important role in pest and disease management, and monitoring the presence and duration of fallow can have implications for understanding the extent and effectiveness of this agricultural practice. READ MORE
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5. Crop and weed detection using image processing and deep learning techniques
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : Artificial intelligence, specifically deep learning, is a fast-growing research field today. One of its various applications is object recognition, making use of computer vision. The combination of these two technologies leads to the purpose of this thesis. READ MORE