Wald

Women in Forestry (WiF) was established in 1986 by women studying and working in forestry. The purpose was to increase awareness among women to claim their right to inherit the family forest, and to work for women to be an active and skilled part of the forestry, as well as to build a strong and supportive network between women. Today, the members of WiF are students, forestry workers, forest owners - including former and future owners - supporters and various organisations within forestry or women's rights, and the organisation works with both forestry and gender equality. The activities include building both knowledge and network among the members and other women, by activities such as women crash courses in forestry, field days for immigrant women and annual Forest Conferences with various topics, as well as activities aimed at building knowledge in the society and the forestry, e.g. by participating in audit of the Norwegian PEFC Forest standard to ensure gender equality in both the working group and the revised standard, and other projects on both national and international scales. WiF reaches out to their members and other audience through the use of Facebook and Instagram, as well as their own podcast "Sound of Forestry", where the guests are mainly women, with an "everyday language" to reach also people without knowledge of forestry. The organisation is funded by membership fees, project fundings, governmental grants, sponsorship and sales of consulting services.

FOVEA offers an innovative all-in-one solution for digital logging of wood: With the “iFOVEA Pro” app, wooden piles of any size can be measured in a few minutes using the latest image processing technology. In addition, the forest management system (FMS) supports the inventory and logistics of wood quantities as extensive online software. The iFOVEA app provides different measurement methods depending on the requirements:

• Photo-optical measurement for plywood piles (number, solid cubic meters and cubic meters)
• Photo-optical measurement for industrial wood (outline and cubic meter)
• Photo-optical measurement for trucks (number, solid cubic meters and cubic meters)
• Data acquisition for long timber
• Manual section procedure with and without line sampling

The calculation of all measured values takes place directly on the smartphone or tablet and does not require an internet connection in the forest. With numerous configuration options, each measurement method can be individually adapted. With the Forest Management System (FMS), the measured data can be easily managed online. In addition to an extensive wood inventory, the system offers a map function and options for invoicing and automatic calculation of wood prices.

LogBuch enables data aggregation in the forest, a simple evaluation of the data and further processing.  The combination of voice recording and Bluetooth button enables hands-free precise location of trees with simultaneous recording of important information about the tree, such as safety instructions or planning working procedures. The expected cut volume can be determined, and assortments planned. Foresters and harvester operators both receive detailed information (cross-linking with third party systems is supported). Technology: An A 2-frequency GNSS-receiver is connected to a smartphone to estimate the current position. A bluetooth button is used for language analysis. All spoken information can be recorded, automatically transcribed and classified, and the actual position lodged. WLAN is used for data exchange between smartphone, webserver and other users. Data can be exported as a map or table in georeferenced or not referenced formats (xlsx, GeoJson, shp, GPX, map). Applications: Preparation of timber harvesting, establishment of a digital "inventory", area mapping (also planting) by connecting recorded corner points, mapping of skid trails by the line function (harvest control or certification basis), remote navigation via Google Maps. In addition, recording of habitat trees etc., support for hunting organization (high seats, driven hunt stands, stalking routes etc.) and traffic safety measures.

 The online portal is an automatic method for identifying illegally cut timber transports from Romania. The users are able to observe alerts from satellites indicating information and once every few days (between 2 and 7 days depending on the satellite) any change in the aerial image associated with the forest vegetation in Romania. The portal also accesses the SUMAL database of the Ministry of Water and Forests in real time. From this database, information is extracted to be processed in the internal system, about the enhancement documents on wood harvests, the locations from where the timber transports are loaded and the information related to these points.The permits on wood harvest became digitalized, therefore all harvesting activity can be checked by satellite monitoring while the transports must obtain a unique code before leaving the place of loading. This code is only obtained after the transport information has been entered into the system, including the location where the code was requested.
The portal, through further developments, also contains an API (set learned of rules), which allows automatic access to all information publicly presented on this portal (layers, transport coordinates and related metadata, enhancement documents, etc.), so that other interested actors can make analyzes that will lead to stopping illegal logging.

The threat of forests by various harmful microorganisms is growing due to changing climate conditions and spreading of non-native pathogens and pests.. Simultaneously the relevance of biological methods of monitoring and preventing forest degradation is increasing in the face of the chemical’s use restrictions. The main aim of the project is the development of an innovative device (electronic nose/ e-NOS), based on a matrix of broad-band electrochemical sensors and neural networks that would detect and analyse the odor-based signals e.g. pheromones of certain insect species. The examples of pathogens and pests addressed in the project include Dendrolimus Pini (L.) and Phytophthora oomycetes.
The developed system delivers comprehensive and complex information which allows to create a neural classifier (using artificial intelligence). The dedicated software was developed to perform the analysis of the data and create a database – library of signals, which will allow to detect the analytes sought in the field. For each application foreseen in the project (analysis of specific smells), dedicated sensory matrices were prepared.   

e-drewno system was created to enable customers to take part in a wood sale auction in a forest district without necessity of physical attendance. Currently, about 20% of all wood sold to enterprises by State Forests in Poland is offered on auctions on e-drewno.pl. After registration in the system and providing forest district nname the customer gets individual access, enabling participation in the auction. For practical reasons it is recommended to indicate the forest district which is located closest to the place of residence / running business activity. All the information exchanged online between the customer's computer and the server operating the auction is coded. When placing the offer it is registered and given position in the ranking, which depends on the proposed price. If the prices given are the same, the position is determined by an order of placing the offers registered by www.e-drewno.pl portal.  During the auction each customer can place unlimited number of offers and modify earlier offers. Winning offers can be only modified to the following extent: wood weight, minimum wood weight, price (up only). In order to protect business data, participants in the auction cannot see the names of other companies taking part in the auction. The system is easy to use and administrate, includes a price calculator and offers access to reports.

Thanks to TimFlow it is possible to check if the exploited wood is legal, if the supplier companies meet the requirements of the company's Due Dilligence system; Whether or not the wood comes from buffer zones of national parks or from other areas where intervention is not allowed. The most important quality of the Timflow system is the unprecedented level of transparency. All GPS data collected is publicly available on the portal also in English, which allows local and international stakeholders to check log shipments. Users can check via Timflow:

• all transports in the country from the last 12 months which have reached the gates of HS Timber Productions’ sawmills in Romania;
• information on transport documents;
• photos of the cargo;
• truck routes;
• in addition, users can request copies of the transport documents.

In addition, users can request copies of the transport documents.With the help of Timflow, HS Timber Group ensures that all shipments are legal, meet the requirements of the Due Diligence system and that the loaded timber does not come from buffer zones of national parks. Timflow is an important part of HS Timber Group's Due Diligence system, which strongly supports the group's efforts to reduce the risk of non-compliant timber in the supply chain. 

The application started in April 2017, the number of registered users grew 60% in the first two months following the update, and the number of transports checked on the platform surpassed the 3,000 mark – a growth of 75%. In 2017 over the first six months in operation, Timflow has recorded real-life data from all the trucks delivering logs to the first company implementing the traceability system. This includes the precise routes of the transports, a reference to the documents of origin and photos of the cargo. For each of the 16,000 transports (as of October 2017) a unique dataset is stored securely on the Timflow servers.

El objetivo del proyecto ChainWood es diseñar y desarrollar una infraestructura de software segura basada en tecnologías blockchain y de Internet de las cosas, ajustada a todas las cadenas de suministro de la madera, que permita a los distintos actores sacar el máximo partido a sus datos y gestionar el producto de una forma más eficiente en términos de coste, trazabilidad y sostenibilidad.
Las principales soluciones a problemas detectados son: Garantía en las transacciones, Información de confianza en tiempo real, Semiautomatización de la operación, Datos de calidad accesibles, Mejora de la competencia.
Recomendaciones: 

• Para los productores
  Información en tiempo real sobre el volumen y el estado del producto.
• Para la industria transformadora
  Acceso a una enorme fuente de datos sobre la materia prima que les permitirá optimizar sus procesos de suministro y agilizar la gestión de sus operaciones.
• Para las empresas de explotación
  Transparencia y garantía en las transacciones, sacando el máximo partido a la tecnología actual.
• Para las autoridades de control
  Reducción de costes en los procesos de auditoría y control, así como un conocimiento más preciso de las cadenas de suministro.
• Para las empresas logísticas 
  Información que les permitirá optimizar su flota y prestar servicios de manera más eficiente.
• Para las administraciones públicas
  Mayor facilidad de acceso a los datos sobre la madera permitiendo una gestión más ágil y eficiente de los procesos que supervisa.

The objective of the ChainWood project is to design and develop a secure software infrastructure based on blockchain and Internet of Things technologies, adjusted to all wood supply chains, allowing the different actors to make the most of their data and manage the product in a more efficient way in terms of cost, traceability and sustainability. The main solutions to problems detected are: transaction assurance, Real-time trusted information, Semi-automation of the operation, Accessible quality data, Improved competition.

Recommendations:

• For producers: Real-time information on the volume and status of the product.
• For the processing industry: Access to a huge source of raw material data that will allow them to optimize their supply processes and streamline the management of their operations.
•  For operating companies: Transparency and assurance in transactions, making the most of today's technology.
• For control authorities: Cost reduction in auditing and control processes, as well as a more precise knowledge of supply chains.
• For logistics companies: Information that will enable them to optimize their fleet and provide services more efficiently.
• For public administrations: Easier access to timber data, allowing a more agile and efficient management of the processes they supervise.

Cross-Forest está desarrollando una plataforma común de datos forestales abiertos y un modelo de datos transfronterizo (ontología) compartido entre Portugal y España, para la publicación de inventarios forestales, mapas y otras bases de datos forestales en formato Linked Open Data (LOD). Cross-Forest proporcionará un repositorio público (endpoint) de publicación de Datos Forestales según el modelo producido. El objetivo principal se centra en mantener la información forestal siempre disponible y actualizada para facilitar su explotación a todos los agentes implicados en la gestión e investigación forestal.

Se están desarrollando dos casos de uso:
CAMBRIC - orientado a simular la evolución de las masas forestales y la calidad de la madera en distintos escenarios de gestión forestal.
FRAME – enfocado a la predicción del comportamiento y propagación de los incendios forestales a través de información precisa sobre materiales combustibles, mapas forestales y modelos de propagación.

Se emplean recursos de computación de alto rendimiento (HPC) debido a la cantidad de datos generados y gestionados, y a la complejidad de los modelos.

Los resultados obtenidos hasta ahora demuestran la utilidad y versatilidad que proporciona la tecnología LOD, ya que permite a los usuarios acceder y gestionar libremente datos actualizados para desarrollar herramientas adaptadas a sus necesidades y propósitos. La publicación de datos como LOD permite a las Administraciones Públicas cumplir fácilmente con sus requisitos de transparencia y publicidad, optimizar recursos y llevar un control estadístico del uso de los datos públicos.