A5049040384- Soil Mechanics and Vehicle Dynamics
- Weed Control and Herbicide Applications
- Smart Agriculture and AI
- European and International Law Studies
- Agronomic Practices and Intercropping Systems
- Soil Management and Crop Yield
- Agricultural Engineering and Mechanization
- Allelopathy and phytotoxic interactions
- Nematode management and characterization studies
- Agriculture, Plant Science, Crop Management
- Forest Biomass Utilization and Management
- Plant Surface Properties and Treatments
- Greenhouse Technology and Climate Control
- Advanced Manufacturing and Logistics Optimization
- Leaf Properties and Growth Measurement
- Legume Nitrogen Fixing Symbiosis
- Modular Robots and Swarm Intelligence
- demographic modeling and climate adaptation
- Robotics and Automated Systems
- Turfgrass Adaptation and Management
- Education, Healthcare and Sociology Research
- Remote Sensing and LiDAR Applications
- Plant Physiology and Cultivation Studies
- Composting and Vermicomposting Techniques
- Plant Pathogens and Fungal Diseases
Aarhus University
2011-2024
University of Copenhagen
2007
Regional Hospital Horsens
2007
Summary Site‐specific weed control technologies are defined as machinery or equipment embedded with that detect weeds growing in a crop and, taking into account predefined factors such economics, take action to maximise the chances of successfully controlling them. In this study, we describe basic parts site‐specific technologies, comprising sensing systems, management models and precision implements. A review state‐of‐the‐art shows several systems implements have been developed over last...
Summary Objective assessment of crop soil cover, defined as the percentage leaf cover that has been buried in because weed harrowing, is crucial to further progress post‐emergence harrowing research. Up now, assessed by visual scores, which are biased and context‐dependent. The aim this study was investigate whether digital image analysis a feasible method estimate early growth stages cereals. Two main questions were examined: (i) how capture suitable images under field conditions with...
This study explores the impact of climatic variability on generalization capabilities a deep learning model for pixel-level crop classification using multi-temporal Sentinel-1 SAR data in Denmark. With agriculture accounting 61% Denmark’s land area, accurate and timely mapping is essential providing insights into distribution, offering valuable information to advisors authorities support large-scale agricultural management, address challenges posed by changing conditions.Our...
This study presents a novel deep-learning approach for estimating Soil Water Content (SWC) with high spatial resolution across multiple soil depths. Additionally, the identifies critical field points based on their drying-out times analyzed by SWC estimations over extended periods. Understanding potential regarding allows operators of heavy agricultural equipment to gain insight into field's traits and prevent excessive compaction. this information can support more strategic efficient...
Increased farm machinery weight in agricultural production results soil compaction. Controlled traffic farming (CTF) restricts to permanent lanes, thereby creating free beds for crop production. Field experiments were conducted at two organic vegetable farms Denmark, on a sandy loam (2013–2016) and coarse sand (2013–2015) investigate CTF effects compared with random (RTF) yield, root growth, mineral nitrogen (N). Root growth was measured using minirhizotrons. White cabbage, potato, beetroot...
Operational planning, automation, and optimisation of field operations are ways to sustain the production food feed. A coverage path planning method mitigating automation harvest operations, characterised by capacity limitations features derived from real world scenarios, is presented. Although prior research has developed similar methods, no such methodologies have been for (i) multiple entrances as line segments, (ii) feasibility stationary on-the-go unloading in headland main field, (iii)...
Data-driven agriculture and Internet of Farming (IoF) require reliable communication systems. Nowadays, only some the key use cases demanded by agricultural industry verticals get support from multiple state art wireless technologies such as 4G, Wi-Fi, or Low Power Wide Area Network (LPWAN) technologies, combined with satellite cloud access. However, ones demanding very high data rates low latency are still not feasible. With 5G, designed for flexible Extreme Mobile Broadband (xMBB), Massive...
Summary Mechanical weed control of perennial weeds in organic crop production over long post‐harvest periods is incompatible with the establishment cover crops for improving soil quality and preventing nutrient leaching. We suggest a new concept that comprises uprooting immediate removal vegetative propagules located within plough layer to allow quick re‐establishment plant cover. A field experiment comparing effects conventional practices (stubble cultivation) different combinations rotary...
Based on the development of a robotic tool carrier (Hortibot) equipped with weeding tools, feasibility study was carried out to evaluate viability this innovative technology. The demonstrated through targeted evaluation adapted obtainable knowledge system performance in horticulture.
Advanced systems for manned and/or agricultural vehicles—such as auto-steering, navigation-adding, and autonomous route planning—require new capabilities in terms of the internal representation system working space; that is, generation a metric map provides by numerical parameters any operation-related entity space. In this paper, real-time approach was developed field map, based on row method (polygons-based geometry). The can deal with fields or without in-field obstacles, where generated...