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This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.

Technology: general issues --- History of engineering & technology --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.

Technology: general issues --- History of engineering & technology --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- n/a --- gaussian naïve bayes

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.

truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- n/a --- gaussian naïve bayes

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As a dynamic interface between agriculture and forestry, agroforestry has only recently been formally recognized as a relevant part of land use with ‘trees outside forest’ in important parts of the world—but not everywhere yet. The Sustainable Development Goals have called attention to the need for the multifunctionality of landscapes that simultaneously contribute to multiple goals. In the UN decade of landscape restoration, as well as in response to the climate change urgency and biodiversity extinction crisis, an increase in global tree cover is widely seen as desirable, but its management by farmers or forest managers remains contested. Agroforestry research relates tree–soil–crop–livestock interactions at the plot level with landscape-level analysis of social-ecological systems and efforts to transcend the historical dichotomy between forest and agriculture as separate policy domains. An ‘ecosystem services’ perspective quantifies land productivity, flows of water, net greenhouse gas emissions, and biodiversity conservation, and combines an ‘actor’ perspective (farmer, landscape manager) with that of ‘downstream’ stakeholders (in the same watershed, ecologically conscious consumers elsewhere, global citizens) and higher-level regulators designing land-use policies and spatial zoning.

Research & information: general --- carbon storage --- cacao agroforestry --- farmer tree preference --- utility value --- entrainment --- erosion --- forest conversion --- overland flow --- soil macroporosity --- throughfall --- water balance --- boundary work --- ecohydrology --- forest-water-people nexus --- landscape approach --- participatory methods --- scenario evaluation --- social-ecological systems --- tropical forests --- assisted natural regeneration (ANR) --- co-investment --- ecosystem services --- environmental stewardship --- equity --- forest and landscape restoration (FLR) --- rights-based approach --- tree planting --- water --- coffee --- fruit trees --- index of root anchoring --- slope stability --- soil shear strength --- root length density --- root tensile strength --- agroforestry --- carbon sequestration --- climate change mitigation --- grazing management --- land restoration --- nationally determined contribution --- silvopastoral --- tree cover --- cocoa agroforestry --- climate adaptation --- soil restoration --- soil organic carbon --- soil macro-porosity --- soil water availability --- inceptisols --- Fraxinus dimorpha --- soil chemical characteristics --- mycorrhizal attributes --- traditional ecological knowledge --- anastomosis --- agroforest --- silvopasture --- economics --- financial analysis --- carbon payment --- Peru --- innovation transfer --- trimming --- intention --- participatory and integrative research-extension --- stakeholders --- adaptation --- Kisumu --- Bungoma --- payment for ecosystem services --- village savings and loan associations --- fruit tree-based agroforestry --- economic benefits --- farmer perspectives --- resource competition --- systems improvement --- uptake and expansion --- cost-benefit analysis --- landscape restoration --- global --- stocktake --- agroforestry coffee --- shade tree species --- pairwise ranking --- Vietnam --- trees on farm --- options by context --- on-farm planned comparison --- tree seedling survival --- agriculture sector --- cost efficiency --- land suitability --- potential expansion areas --- representative concentration pathway --- cocoa --- Java --- livelihoods --- rural-urban --- remittances --- returning migrants --- Sumatra --- Sulawesi --- certification --- deforestation --- palm oil --- forest classification --- Jambi --- legality --- independent smallholders --- agroforestry concessions --- West Kalimantan --- land-use change --- belowground biodiversity --- soil engineers --- Pontoscolex corethrurus --- natural habitats --- planted forest --- artesian wells --- Oryza --- paddy cultivation --- restoration --- rodents --- sustainable intensification --- Mount Bromo-Tengger --- coinvestment --- instrumental values --- landscape --- relational values --- social-ecological systems --- stewardship --- sustainable development goals (SDGs) --- trees --- carbon storage --- cacao agroforestry --- farmer tree preference --- utility value --- entrainment --- erosion --- forest conversion --- overland flow --- soil macroporosity --- throughfall --- water balance --- boundary work --- ecohydrology --- forest-water-people nexus --- landscape approach --- participatory methods --- scenario evaluation --- social-ecological systems --- tropical forests --- assisted natural regeneration (ANR) --- co-investment --- ecosystem services --- environmental stewardship --- equity --- forest and landscape restoration (FLR) --- rights-based approach --- tree planting --- water --- coffee --- fruit trees --- index of root anchoring --- slope stability --- soil shear strength --- root length density --- root tensile strength --- agroforestry --- carbon sequestration --- climate change mitigation --- grazing management --- land restoration --- nationally determined contribution --- silvopastoral --- tree cover --- cocoa agroforestry --- climate adaptation --- soil restoration --- soil organic carbon --- soil macro-porosity --- soil water availability --- inceptisols --- Fraxinus dimorpha --- soil chemical characteristics --- mycorrhizal attributes --- traditional ecological knowledge --- anastomosis --- agroforest --- silvopasture --- economics --- financial analysis --- carbon payment --- Peru --- innovation transfer --- trimming --- intention --- participatory and integrative research-extension --- stakeholders --- adaptation --- Kisumu --- Bungoma --- payment for ecosystem services --- village savings and loan associations --- fruit tree-based agroforestry --- economic benefits --- farmer perspectives --- resource competition --- systems improvement --- uptake and expansion --- cost-benefit analysis --- landscape restoration --- global --- stocktake --- agroforestry coffee --- shade tree species --- pairwise ranking --- Vietnam --- trees on farm --- options by context --- on-farm planned comparison --- tree seedling survival --- agriculture sector --- cost efficiency --- land suitability --- potential expansion areas --- representative concentration pathway --- cocoa --- Java --- livelihoods --- rural-urban --- remittances --- returning migrants --- Sumatra --- Sulawesi --- certification --- deforestation --- palm oil --- forest classification --- Jambi --- legality --- independent smallholders --- agroforestry concessions --- West Kalimantan --- land-use change --- belowground biodiversity --- soil engineers --- Pontoscolex corethrurus --- natural habitats --- planted forest --- artesian wells --- Oryza --- paddy cultivation --- restoration --- rodents --- sustainable intensification --- Mount Bromo-Tengger --- coinvestment --- instrumental values --- landscape --- relational values --- social-ecological systems --- stewardship --- sustainable development goals (SDGs) --- trees

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

As a dynamic interface between agriculture and forestry, agroforestry has only recently been formally recognized as a relevant part of land use with ‘trees outside forest’ in important parts of the world—but not everywhere yet. The Sustainable Development Goals have called attention to the need for the multifunctionality of landscapes that simultaneously contribute to multiple goals. In the UN decade of landscape restoration, as well as in response to the climate change urgency and biodiversity extinction crisis, an increase in global tree cover is widely seen as desirable, but its management by farmers or forest managers remains contested. Agroforestry research relates tree–soil–crop–livestock interactions at the plot level with landscape-level analysis of social-ecological systems and efforts to transcend the historical dichotomy between forest and agriculture as separate policy domains. An ‘ecosystem services’ perspective quantifies land productivity, flows of water, net greenhouse gas emissions, and biodiversity conservation, and combines an ‘actor’ perspective (farmer, landscape manager) with that of ‘downstream’ stakeholders (in the same watershed, ecologically conscious consumers elsewhere, global citizens) and higher-level regulators designing land-use policies and spatial zoning.

carbon storage --- cacao agroforestry --- farmer tree preference --- utility value --- entrainment --- erosion --- forest conversion --- overland flow --- soil macroporosity --- throughfall --- water balance --- boundary work --- ecohydrology --- forest–water–people nexus --- landscape approach --- participatory methods --- scenario evaluation --- social-ecological systems --- tropical forests --- assisted natural regeneration (ANR) --- co-investment --- ecosystem services --- environmental stewardship --- equity --- forest and landscape restoration (FLR) --- rights-based approach --- tree planting --- water --- coffee --- fruit trees --- index of root anchoring --- slope stability --- soil shear strength --- root length density --- root tensile strength --- agroforestry --- carbon sequestration --- climate change mitigation --- grazing management --- land restoration --- nationally determined contribution --- silvopastoral --- tree cover --- cocoa agroforestry --- climate adaptation --- soil restoration --- soil organic carbon --- soil macro-porosity --- soil water availability --- inceptisols --- Fraxinus dimorpha --- soil chemical characteristics --- mycorrhizal attributes --- traditional ecological knowledge --- anastomosis --- agroforest --- silvopasture --- economics --- financial analysis --- carbon payment --- Peru --- innovation transfer --- trimming --- intention --- participatory and integrative research-extension --- stakeholders --- adaptation --- Kisumu --- Bungoma --- payment for ecosystem services --- village savings and loan associations --- fruit tree-based agroforestry --- economic benefits --- farmer perspectives --- resource competition --- systems improvement --- uptake and expansion --- cost-benefit analysis --- landscape restoration --- global --- stocktake --- agroforestry coffee --- shade tree species --- pairwise ranking --- Vietnam --- trees on farm --- options by context --- on-farm planned comparison --- tree seedling survival --- agriculture sector --- cost efficiency --- land suitability --- potential expansion areas --- representative concentration pathway --- cocoa --- Java --- livelihoods --- rural–urban --- remittances --- returning migrants --- Sumatra --- Sulawesi --- certification --- deforestation --- palm oil --- forest classification --- Jambi --- legality --- independent smallholders --- agroforestry concessions --- West Kalimantan --- land-use change --- belowground biodiversity --- soil engineers --- Pontoscolex corethrurus --- natural habitats --- planted forest --- artesian wells --- Oryza --- paddy cultivation --- restoration --- rodents --- sustainable intensification --- Mount Bromo-Tengger --- coinvestment --- instrumental values --- landscape --- relational values --- social–ecological systems --- stewardship --- sustainable development goals (SDGs) --- trees --- n/a --- forest-water-people nexus --- rural-urban