professional |

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

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 [Professional]

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 [Professional]

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 »

Spectral-temporal characterization of wheat cultivars through NDVI obtained by terrestrial sensors [Professional]

Paper Introduction Remote sensing applications in agriculture are presented as a very promising reality, but research is still needed for the correct use of spectral data. A study was done to evaluate the spectral-temporal patterns of eleven wheat cultivars (Triticum aestivum L.). With the help of the GreenSeeker and FieldSpec 4 terrestrial sensors, spectral signatures… read more »

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

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 »

Large-scale crop monitoring [Professional]

Introduction Crops monitoring on large-scale farm is a complex and time-consuming exercise, particularly in warm arid conditions where crops can change drastically in 24 hours. Reducing scouting time is of great importance while providing maps for large areas within hours would be the ultimate goal. With multi-spectral sensors, biomass is monitored accurately helping the… read more »

SunScan [Professional]

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. In this case evaluated 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.)… read more »

ICT solutions’ integration in farms [Professional]

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 »

Manure Sensing [Professional]

Introduction Manure is a nutrient-rich organic fertilizer. But until now, natural variance and rapid settling left the success of manure fertilisation to chance[1]. Optimizing the use of manure minimizes loss of nutrients and dispersion into the environment. Manure not only contains nutrients such as N, P and K which can be re-used as fertilizer… read more »

Base Fertilization [Professional]

Introduction Differences within plant stock mostly depend on the soil. The measurement of electrical conductivity with the help of a soil scanner gives the first impression of these relative differences. As a result detailed soil zone maps can be generated to facilitate fertilization in accordance with real needs of the farm. Related Smart… read more »