Sökning: "weed detection"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden weed detection.

  1. 1. Improving segmentation of agricultural patterns in aerial imagery using near-infrared images

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jonathan Lindén; [2022]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  3. 2. Examining Difficulties in Weed Detection

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Axel Ahlqvist; [2022]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  4. 3. Weed Detection in UAV Images of Cereal Crops with Instance Segmentation

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Arina Gromova; [2021]
    Nyckelord :computer vision; deep learning; CNN; mask R-CNN; weed detection;

    Sammanfattning : 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. LÄS MER

  5. 4. Assessing the suitability of using Sentinel-1A SAR multi-temporal imagery to detect fallow periods between rice crops

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Lukasz Langowski; [2021]
    Nyckelord :Geography; Geographical Information System; GIS; Remote Sensing; Fallow; Detection; Sentinel-1A; Synthetic-aperture radar; SAR; Earth and Environmental Sciences;

    Sammanfattning : 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. LÄS MER

  7. 5. Crop and weed detection using image processing and deep learning techniques

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Lina Chaaro; Laura Martínez Antón; [2020]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER