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DocumentOther documentGrowth estimation of standing trees using artificial intelligence
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Growth assessment in an ecosystem is an essential element in management and decision making. Such an exercise helps in development and biodiversity management in a natural ecosystem. The assessment process, however, demands time and manpower. Developing an automated tool not only helps in saving the above-mentioned resources but also in expanding the area of coverage for assessment. We are developing an artificial intelligence based tool using image data for growth assessment. The method will be demonstrated in plantations of eucalyptus and teak. The plantations are established in straight lines using a single species of trees. It can be assumed that the trunk texture of these trees is similar while the shape can be different. Estimating the standing timber volume is important to assess the growth, harvestable timber volume, and plan on the transportation logistics of harvested timber. Every tree must be manually measured in the existing method of volume calculation demanding time and manpower. These costs can be cut down while maintaining the accuracy using images processed with statistical learning methods such as Convolutional Neural Network. The plantations will be partitioned into grids and digital images will be taken from the edges of this grid. These RGB digital images will be processed to determine the growth parameters such as girth at breast height, height, and tapering of the trees. Transfer Learning is to be used in modifying the existing neural network in identifying 3D shapes of individual objects from 2D images, multi-spatial depth estimation, and volume determination. A cost-effective automated tool to estimate the timber volume of standing trees in real-time will be developed. While estimating the volume by this method, a significant amount of time and manpower can be saved without compromising the accuracy compared to the conventional method. Keywords: Monitoring and data collection, Adaptive and integrated management, Innovation, Policies, Research ID: 3621691 -
ArticleJournal articleSMART Global Ecosystems an academic-industrial partnership to integrate artificial intelligence in forestry
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.SMART Global Ecosystems is an alliance between the University of Valladolid and the technological company SNGULAR to promote research and training in the area of artificial intelligence and sustainable environmental data science through information and communication technologies (ICTs) and big data analysis. ICTs, together with massive data analysis, open a world of opportunities to implement training, research, and social awareness actions to develop data science and artificial intelligence methods and products that facilitate sustainable ecosystem management. Through the development of ecosystem monitoring, analysis, and management methods based on data science and artificial intelligence, the aim is to ensure Sustainability, Mitigation, Adaptation, Resilience to Global Change, and Trade-offs of Ecosystem Services (SMART) globally. Promoters, professors and researchers at the University of Valladolid (campus at Palencia) and the data and artificial intelligence team from SNGULAR, have been collaborating for twenty years in the development of programs and algorithms for ecosystem management. Through different collaborative projects developed with students from master DATAFOREST (University of Valladolid) and from Vietnam National University-University of Science (VNU University of Science), we have generated a set of lessons learned on the detection of singular trees by using ground and remote sensing data and artificial intelligence. Keywords: Innovation, Partnerships, Monitoring and data collection, Research, Learning by doing. ID: 3623999 -
ArticleJournal articleClimate impact on tree growth of selected tree species in Poland
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Climate change is one of the greatest challenges facing the modern world. It has a profound impact on the natural and social environment. Policy makers and natural resource managers need information on the direction and potential scope of climate change in order to better anticipate its potential effects and implement measures to adapt to climate change. Forestry is an area where changes are already visible, and adaptation measures aimed at ensuring the sustainability of forest ecosystems, due to the long-life cycle of trees, should be initiated ahead of time. The study attempts to evaluate trends in changes in radial increments of selected tree species in the era of changing climatic conditions and their sensitivity to thermal and pluvial conditions. Several native tree species, typical for Polish forests, and an introduced species -Douglas fir (Pseudotsuga menziesii) were selected for analysis. The empirical material included incremental data of trees representing from a dozen to several dozen sites of individual species, located in various parts of Poland, and meteorological data from stations located close to the research plots. For each site, a residual chronology of annual increments was developed, which was the basis for the research on the climate-growth relationship. It was investigated which meteorological factors have a positive and negative impact on the size of annual increments of trees and it was determined how this relationship changes over time. It was shown that the stability of the climate signal in tree incremental sequences was maintained until the beginning of the 1980s. Later, an increase in the strength of the correlation between the standardized measures of radial growth of trees and the average air temperature or the amount of precipitation in some months was observed, which indicates a greater sensitivity of trees to the current ranges of thermal and pluvial conditions. Keywords: climate change, dendroclimatology, radial increments, climate-growth relationship ID: 3486956
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BookletHigh-profileFAO Strategy on Climate Change 2022–2031 2022The FAO Strategy on Climate Change 2022–2031 was endorsed by FAO Council in June 2022. This new strategy replaces the previous strategy from 2017 to better FAO's climate action with the Strategic Framework 2022-2031, and other FAO strategies that have been developed since then. The Strategy was elaborated following an inclusive process of consultation with FAO Members, FAO staff from headquarters and decentralized offices, as well as external partners. It articulates FAO's vision for agrifood systems by 2050, around three main pillars of action: at global and regional level, at country level, and at local level. The Strategy also encourages key guiding principles for action, such as science and innovation, inclusiveness, partnerships, and access to finance.
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Book (stand-alone)Technical bookRussian Federation: Meat sector review
Country highlights prepared under the FAO/EBRD Cooperation
2014Also available in:
World food demand has seen massive changes, including a shift from staple foods to animal proteins and vegetable oils. In the short to medium term, this trend in global food demand will continue. There will be an increased demand for vegetable oils, meat, sugar, dairy products and livestock feed made from coarse grains and oilseed meals. There are numerous mid-term forecasts for the Russian Federation’s meat sector. Most of them agree on the following trends: (i) the consumption of poultry and p ork meat will increase; (ii) the consumption of beef will decrease or stabilize; and (iii) the Russian Federation will remain a net importer of meat on the world market. According to OECD and FAO projections, meat imports from the Russian Federation will decrease from 3 to 1.3 million tonnes, owing to an anticipated growth in domestic chicken meat and pork production. The country’s share in global meat imports is anticipated to decrease from 12 percent in 2006–2010, to 4 percent in 2021. While t he Russian Federation will continue to play an important role in the international meat market, it will fall from its position as the largest meat importing country in 2006–2010 to the fourth largest global meat importer by 2021, behind Japan, sub-Saharan African countries, and Saudi Arabia. -
Book (stand-alone)Technical bookThe future of food and agriculture - Trends and challenges 2017
Also available in:
No results found.What will be needed to realize the vision of a world free from hunger and malnutrition? After shedding light on the nature of the challenges that agriculture and food systems are facing now and throughout the 21st century, the study provides insights into what is at stake and what needs to be done. “Business as usual” is not an option. Major transformations in agricultural systems, rural economies, and natural resources management are necessary. The present study was undertaken for the quadrennial review of FAO’s strategic framework and for the preparation of the Organization Medium-Term plan 2018-2021.