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Robotic broccoli harvesting [Student]

  Introduction The selective hand-harvest of fresh market broccoli is labor-intensive and comprises about 35% of the total production costs[1]. Advanced technologies can reduce labor and at the same time increase the efficiency of harvesting procedures. Automated broccoli harvesters have been considered for many years, but changes in the labor picture have increased interest in… read more »

Haulm destruction application [Student]

  Introduction Haulm destruction before harvesting is often applied to reduce damage at harvest. Before harvesting haulm is pulled, cut or killed using chemicals. In general haulm destruction takes place 10-15 days before harvest. It is evident that a good skin formation after haulm destruction is quicker in a crop which is close to maturity,… read more »

Canopy Vegetation Indices from In situ Hyperspectral Data to Assess Plant Water Status of Winter Wheat under Powdery Mildew Stress [Student]

Paper Introduction Plant disease and pests influence the physiological state and restricts the healthy growth of crops. Physiological measurements are considered the most accurate way of assessing plant health status. In this paper, we researched the use of an in situ hyperspectral remote sensor to detect plant water status in winter wheat infected with powdery… read more »

Spraying Drones [Student]

  Introduction Unmanned aerial vehicle (UAV) variable-rate spraying technology, as the development direction of aviation for plant protection in the future, has been developed rapidly in recent years. In the actual agricultural production, the severity of plant diseases and insect pests varies in different locations. In order to reduce the waste of pesticides, pesticides should… read more »

Sentek Soil Moisture Monitoring [Student]

Introduction Sentek provides sensors that monitor soil moisture allowing for precise irrigation sceduling and variable irrigation applications. The growth of prime agricutural product is optimised by the scientific insights that are verifiable and repeatable by the sensor data collection process. For environmental, confident decisions are made about project commencement and compliance to protect multinational brands[1]… read more »

Autoguided computer vision system for row and weed detection [Student]

  Introduction Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.[1][2][3] In agriculture computer vision can be used for procedures such as row… read more »

SunScan [Student]

Introduction Rapid and reliable estimates of leaf area index (LAI) are important for studies of exchanges of energy and gases in the biosphere-atmosphere continuum. This paper evaluates the field performance of SunScan canopy analysis system for rapid estimation of LAI. Direct and indirect measurements of LAI were made in a maize (Zea mays L.) field… read more »

ICT solutions’ integration in farms [Student]

  Introduction In the future European farmers will have to effectively manage information on and off their farms to improve economic viability and to reduce environmental impact. All three levels, in which agricultural activities need to be harmonized with economical and environmental constraints, require integrated ICT adoption: improvement of farm efficiency; integration of public goods… read more »

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