Sökning: "Precision Agriculture"

Visar resultat 1 - 5 av 28 avhandlingar innehållade orden Precision Agriculture.

  1. 1. Hydrological Modelling, Topographical Influence and Yield Mapping in Precision Agriculture

    Författare :Andreas Persson; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Spatially distributed hydrological modelling; Precision Agriculture; Yield mapping; Topographical wetness index; Drainage area; Lantbrukshydrologi; marklära; agricultural hydrology; Soil Science;

    Sammanfattning : The use of topographical data in hydrological and agricultural applications has increased with GPS data availability and the concept of precision agriculture. This thesis investigates the relationships between topography and in one case simulated soil moisture and in the other case yield. LÄS MER

  3. 2. Cognition and decision-making in adoption of agricultural decision support systems : the case of precision agriculture

    Författare :Christina Lundström; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
    Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES;

    Sammanfattning : Precision agriculture (PA) has a central role to play in a sustainable intensification trajectory of agriculture, including increased yields and decreased environmental impact. Although grounded in advanced technologies this still implies that the individual farmer will have to develop knowledge that is complex, diverse and local. LÄS MER

  4. 3. Data driven crop disease modeling

    Författare :Priyamvada Shankar; Marcus Liwicki; Foteini Liwicki; Lili Jiang; Luleå tekniska universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Crop Disease Prediction; Precision Agriculture; Digital Farming; Artificial Intelligence; Machine learning; Maskininlärning; Machine Learning;

    Sammanfattning : The concept of precision farming deals with the creation and use of data from machinery and sensors on and off the field to optimize resources and sustainably intensify food production to keep up with increasing demand. However, in the face of a growing amount of data being collected, smarter data processing and analysis techniques are needed and have prompted the evaluation and incorporation of artificial intelligence (AI) and machine learning (ML) techniques for multiple use cases right from seeding to harvesting. LÄS MER

  5. 4. Autonomous navigation of an articulated vehicle in agriculture

    Författare :Saira Latif; Magnus Karlberg; Linnea Hansson; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Machine Design; Maskinkonstruktion;

    Sammanfattning : Disrupting agricultural vehicular automation is imperative for the solutions to global as well local challenges in agricultural production system. Historically, application of scientific and technological developments through increased mechanization and precision farming have provided several opportunities for agricultural production in general and within forage handling operations. LÄS MER

  7. 5. Evaluating thinning practices and assessment methods for improved management in coniferous production forests in southern Sweden

    Författare :Magnus Persson; Johan Bergh; Lauri Mehtätalo; Linnéuniversitetet; []
    Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; thinning; within-stand variation; tree species classification; Scots pine; Norway spruce; Sentinel-2; Heureka; Precision forestry; thinning detection; basal area; Forestry and Wood Technology; Skog och träteknik;

    Sammanfattning : Most of our knowledge about wood production of Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) Karst.) and associated silvicultural guidelines are based on field experiments. LÄS MER