August 27th - Advances in Crop Sensing
Presented on August 27th, 2020 at 13:30 CDT (UTC -5).
Carrot Yield Forecasting Using Different Multispectral Satellite Sensors
Corresponding Author and Presenter:
Angelica Suarez Cadavid
University of New England
Research Fellow, Applied Agricultural Remote Sensing Center
EO4Agri Analysis of Potential Earth Observation for Precision Agriculture
Corresponding Author and Presenter:
Karel Charvel
WirelessInfo
Project Manager
- Climatic changes will be one from key drivers for future agriculture. Therefore it is necessary to provide more focused research in the area of analysis of dependencies of climate data with EO data, including historical analysis
- Users require data with higher resolution
- Willingness of farming sector to pay for new services is not very high and this could be a limitation for introducing new services
- There is a need for deep integration of Earth Observation research with agriculture research. The same data could bring different results on the basis of different strategies
- Green deal can be a good start for new Precision Agriculture Services, due to the fact that Green Deal addresses the environmental issues broadly, including Farm to Fork strategy, Biodiversity strategy, CAP strategy, Climate Change Strategy
- European Data Strategy and Digital Twins ideas can open new possibilities for Public-Private-Partnership (PPP) for Agriculture Data. This should be also necessary to be reflected in the CAP reform
- New intensive research in ICT like Artificial Intelligence, Big Data, Data fusion, HPC will be needed
- In Public sector there are requirements on new services, not only on monitoring. Planning, water management and adaptation to climatic changes are also an important topic for the future.
- Integration of EO and navigation data is necessary
- Standardisation is key issue for building effective solutions for integration of Agriculture Data
Sugarcane Crop Classification and Varietal Discrimination from Sentinel-2 Using Supervised Classifier
Corresponding Author:
Virupakshagouda Patil
The presentation is about the identification and mapping of sugarcane crop and its varieties as it is important for farmers and sugar industry decision makers of the region, for scheduling harvest as well as for agricultural field Management. The objectives of this study were to create spectral library of crops for crop discrimination. In this study, the reference spectra is prepared from the collected ground data for different crops i.e. Sugarcane, Corn, Wheat, Turmeric and different sugarcane varieties (Co86032, Co91010, Co M265, SNK9293, VSI08005 and PI1110). Classification was performed by using Spectral Angle Mapper (SAM) which clearly ascertains its efficacy and reliability in retrieving the crop and its variety occurring in an area in an accurate yet quick manner.
Evaluating Proximal Soil Sensors for Measurement of Soil Physical and Chemical Properties
Corresponding Author and Presenter:
Chase Maxton
Veris Technologies
Electronic Engineer
Multiple proximal soil sensor technologies (EC, Soil optical reflectance, sensor pH, Gamma) were evaluated on 17 fields across 8 states for their correlation to traditional lab analyses.
Intelligent Irrigation by Fusion of Spectral Vegetation Indices and SAR Imagery
Corresponding Author and Presenter:
Ofer Beeri
Manna Irrigation
Chief Scientist
Precision Agriculture Approach for Understanding Spatial Variability of Sugarcane Productivity: A Case Study from Karnataka
Corresponding Author and Presenter:
Virupakshagouda Patil
Estimating Daily 3 M Leaf Area Index from Space Using CubeSats Images
Corresponding Author and Presenter:
Yuval Sadeh
School of Earth, Atmosphere and Environment, Monash University, Melbourne, Australia
PhD Candidate
Presented on
August 27th, 2020
13:30 CDT (UTC -5).
Moderated by:
James Taylor
Watch the Webinar from August 27th
Advances in Crop Sensing
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