InnerPlant’s Post

Interesting discussion about basics of forest sector modelling Why modeling forests requires integrated biological and economic modeling: A Response to Searchinger and Berry https://lnkd.in/dDbn3dgh

Did you know? #EFIBioGateway online tools page shares relevant databases for analysing forests, the environment, bioeconomy solutions, and simulation models. Check out here: https://lnkd.in/dK6wZ7vE

Mapping soil health: New index enhances soil organic carbon prediction. A cutting-edge machine learning model has been developed to predict soil organic carbon (SOC) levels, a critical factor for soil health and crop productivity. The innovative approach utilizes hyperspectral data to identify key spectral bands, offering a more precise and efficient method for assessing soil quality and support. https://lnkd.in/gWsF27Bz

The taxonomic core community can help to unravel the underlying processes of microbial community assembly. https://lnkd.in/e6bAS_rk

Preventing unconsented flooding from waste water networks is crucial. SIWA Blockage Predictor, an AI based application that evaluates combined sewer overflow behavior in real-time, providing better understanding of potential blockages before they happen. Learn more how to ensure that the sewer networks is operating correctly. https://sie.ag/3KxwWge

How can we generate pure drinking water from air? By harnessing the power of water vapour (humidity) in the atmosphere, we can create water when and where it’s needed with only a simple power source. The process is rooted in the science of condensation — similar to the dew you see on leaves in the morning, but applied at scale. Explore the technology that makes this possible, and discover how it’s transforming access to fresh water: https://lnkd.in/gxA96VMP

#mdpienergies #Testimonial See what our editors and authors say about Energies ⚡ Dr. Periklis Gogas from Democritus University of Thrace - (https://brnw.ch/21wLVub.) "Fast process with great and easy communication with the editorial team. We do not feel lost and abandoned like in other major publishers, where it takes so much effort and time to contact anyone." Article in Energies: Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms 👉 https://brnw.ch/21wLVuc #gasoline #decisiontree #randomforest #XGBoost #machinelearning #forecasting

Scientists have been using color to classify carbon based on its function, characteristics, and location at different stages of the carbon cycle. This approach offers a more detailed framework compared to the traditional "organic" and "inorganic" classifications.

Satellite-based Earth observation data is increasingly applied across a wide range of fields, from climate change monitoring and resilient infrastructure development to civil protection, precision agriculture, and beyond. Last week, at the Società Italiana di Economia - SIE conference, I presented a paper that explores the potential economic impact of Earth observation data across various sectors. Our study specifically examines how this data may contribute to value-added growth and, ultimately, to GDP. This research, coauthored with  Lorenzo Zirulia Massimo Florio Veronica Lupi @Paolo Castelnovo, employs several methods: a web scraping procedure, a survey targeting end-users of Earth observation services and applications, a Delphi method involving expert consultation, and Monte Carlo simulations. Further details will be shared soon…

The future of water is in the Air