#fao — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #fao, aggregated by home.social.
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Do combate à desertificação à economia verde: China apresenta plano para ter 26% de cobertura florestal até 2030
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Do combate à desertificação à economia verde: China apresenta plano para ter 26% de cobertura florestal até 2030
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Comunidades rurales se unen para promover la adaptación climática en la cuenca del río Tempisque
Comunidades rurales se unen para promover la adaptación climática en la cuenca del río Tempisque
Guanacaste, 23 jul (elmundo.cr) – Comunidades, gobiernos locales, territoriales, sector privado y organizaciones trabajan en la construcción de nuevas estrategias para fortalecer la adaptación climática en la cuenca del río Tempisque, en los cantones de Liberia, Nicoya, Santa Cruz, Bagaces y Carrillo, una de las zonas más vulnerables del Corredor Seco Centroamericano. Esta iniciativa se […]
Redacción
El Mundo CR#AdaptaciónClimática #ComunidadesRurales #CostaRica #CuencaDelRíoTempisque #FAO
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El hambre en América Latina continúa disminuyendo: ahora hay que conseguir que las dietas saludables sean asequibles
El hambre en América Latina continúa disminuyendo: ahora hay que conseguir que las dietas saludables sean asequibles
El hambre está disminuyendo en la mayor parte de América Latina y el Caribe. El próximo reto de la región es aún más difícil: garantizar que toda la población pueda permitirse una dieta saludable, y no solo las calorías suficientes para sobrevivir. La tasa regional de hambre descendió por quinto año consecutivo en 2025, hasta […]
Redacción
El Mundo CR#DietasSaludables #FAO #HambreEnAméricaLatina #Opinión #SeguridadAlimentaria
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A diferença incontestável: Lula tirou o Brasil da fome, enquanto Bolsonaro condenou o povo à miséria da fila do osso
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A diferença incontestável: Lula tirou o Brasil da fome, enquanto Bolsonaro condenou o povo à miséria da fila do osso
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A diferença incontestável: Lula tirou o Brasil da fome, enquanto Bolsonaro condenou o povo à miséria da fila do osso
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A diferença incontestável: Lula tirou o Brasil da fome, enquanto Bolsonaro condenou o povo à miséria da fila do osso
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A diferença incontestável: Lula tirou o Brasil da fome, enquanto Bolsonaro condenou o povo à miséria da fila do osso
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https://www.europesays.com/africa/342730/ Zimbabwe farm project lifts 188,000 households and boosts food security #AfricanDevelopmentBank #AgriculturalFinance #agriculture #AgrifoodSystems #ClimateResilience #ClimateSmartAgriculture #FAO #FoodSecurity #RuralDevelopment #SeedRevolvingFund #SmallholderFarmers #SustainableAgriculture #WheatProduction #WomenFarmers #zimbabwe
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Insegurança alimentar no Brasil atinge menor índice da série histórica no governo Lula 3
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Insegurança alimentar no Brasil atinge menor índice da série histórica no governo Lula 3
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FAO reporta menos hambre en Venezuela, pero alerta sobre el deterioro nutricional de mujeres y niños
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https://www.europesays.com/at/287067/ UNO: Hunger in der Welt geht zurück – aber… #Armut #fao #MedizinUndGesundheit #Nachrichten #News #Schlagzeilen #UNICEF #uno #Welt #WHO #World #WorldNews
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FAO reporta leve descenso del hambre global
https://fed.brid.gy/r/https://www.telesurtv.net/fao-reporta-leve-descenso-hambre-global/
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https://www.europesays.com/afrika/42663/ UNO: Hunger in der Welt geht zurück – aber… #Afrika #Armut #FAO #MedizinUndGesundheit #UNICEF #UNO #WHO
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Today released:
The number of people suffering chronic #hunger increased from 595 million in 2015 to 645 million in 2025. It is projected to be reduced to 511 million in 2030.
The according percentages of the world population decreased from 8.0% in 2015 to 7.8% in 2025. Related #UN #SDG2 to #EndHunger by 2030 is not on track.
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#GlobalHealth #GlobalGoals #SDGs #2030Agenda #WHO #FAO #undernourishment #hunger #food #nutrition #SOFI2026
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Today released:
The number of people suffering chronic #hunger increased from 595 million in 2015 to 645 million in 2025. It is projected to be reduced to 511 million in 2030.
The according percentages of the world population decreased from 8.0% in 2015 to 7.8% in 2025. Related #UN #SDG2 to #EndHunger by 2030 is not on track.
1/2 ...
#GlobalHealth #GlobalGoals #SDGs #2030Agenda #WHO #FAO #undernourishment #hunger #food #nutrition #SOFI2026
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Today released:
The number of people suffering chronic #hunger increased from 595 million in 2015 to 645 million in 2025. It is projected to be reduced to 511 million in 2030.
The according percentages of the world population decreased from 8.0% in 2015 to 7.8% in 2025. Related #UN #SDG2 to #EndHunger by 2030 is not on track.
1/2 ...
#GlobalHealth #GlobalGoals #SDGs #2030Agenda #WHO #FAO #undernourishment #hunger #food #nutrition #SOFI2026
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Today released:
The number of people suffering chronic #hunger increased from 595 million in 2015 to 645 million in 2025. It is projected to be reduced to 511 million in 2030.
The according percentages of the world population decreased from 8.0% in 2015 to 7.8% in 2025. Related #UN #SDG2 to #EndHunger by 2030 is not on track.
1/2 ...
#GlobalHealth #GlobalGoals #SDGs #2030Agenda #WHO #FAO #undernourishment #hunger #food #nutrition #SOFI2026
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Today released:
The number of people suffering chronic #hunger increased from 595 million in 2015 to 645 million in 2025. It is projected to be reduced to 511 million in 2030.
The according percentages of the world population decreased from 8.0% in 2015 to 7.8% in 2025. Related #UN #SDG2 to #EndHunger by 2030 is not on track.
1/2 ...
#GlobalHealth #GlobalGoals #SDGs #2030Agenda #WHO #FAO #undernourishment #hunger #food #nutrition #SOFI2026
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UN-Report: Kleine Fortschritte, doch der Hunger bleibt
Die Zahl der Hungernden sinkt, doch Konflikte wie im Nahen Osten könnten die Lebensmittelversorgung massiv verschlechtern. Milliarden Menschen fehlt zudem das Geld für eine gesunde Ernährung. Von C. Auerbach.
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UN-Report: Kleine Fortschritte, doch der Hunger bleibt
Die Zahl der Hungernden sinkt, doch Konflikte wie im Nahen Osten könnten die Lebensmittelversorgung massiv verschlechtern. Milliarden Menschen fehlt zudem das Geld für eine gesunde Ernährung. Von C. Auerbach.
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UN-Report: Kleine Fortschritte, doch der Hunger bleibt
Die Zahl der Hungernden sinkt, doch Konflikte wie im Nahen Osten könnten die Lebensmittelversorgung massiv verschlechtern. Milliarden Menschen fehlt zudem das Geld für eine gesunde Ernährung. Von C. Auerbach.
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UN-Report: Kleine Fortschritte, doch der Hunger bleibt
Die Zahl der Hungernden sinkt, doch Konflikte wie im Nahen Osten könnten die Lebensmittelversorgung massiv verschlechtern. Milliarden Menschen fehlt zudem das Geld für eine gesunde Ernährung. Von C. Auerbach.
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UN-Report: Kleine Fortschritte, doch der Hunger bleibt
Die Zahl der Hungernden sinkt, doch Konflikte wie im Nahen Osten könnten die Lebensmittelversorgung massiv verschlechtern. Milliarden Menschen fehlt zudem das Geld für eine gesunde Ernährung. Von C. Auerbach.
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https://www.europesays.com/afrique/158978/ FAO: Italie et Éthiopie unies pour l’avenir des systèmes alimentaires durables #Alimentation #Éthiopie #FAO
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https://www.europesays.com/ch/103619/ Geneva hosts 49th session of Codex Alimentarius Commission #fao #food #Geneva
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The Spanish government’s fight against the European PP to lead the FAO
You might be interested in Possible betrayal of Raphinha: his father would have swindled him out of a…
#Europe #EU #EuropeanCouncil #against #European #fao #fight #Government #lead #PP #s #spanish #the #to
https://www.europesays.com/europe/94258/ -
https://www.europesays.com/afrique/156118/ Tunisie l Une technologie innovante pour réduire l’évaporation de l’eau #CERTE #évaporation #EzzeddineBenCheikh #FAO #Kamech #NabilAssaf #ProjetTECEau #SécuritéHydrique #Tunisie
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GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
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https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
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https://zenodo.org/records/17627111 <-- shared open data
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H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
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https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
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https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
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https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
--
https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
--
https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
--
https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
GMIA-NEXT - Next-Generation Global Map of Irrigated Areas |
--
https://doi.org/10.21203/rs.3.rs-10085674/v1 <-- shared paper
--
https://zenodo.org/records/17627111 <-- shared open data
--
H/T @kyle Davis
“Irrigation plays a critical role in global food production and climate adaptation and exercises profound influence over humanity's water use. Yet despite its critical importance, there is a persistent lack of understanding of fine-scale irrigation patterns across the planet, knowledge which is essential for informing global food security and sustainability targets. Utilizing either statistical downscaling or remote sensing approaches, existing global irrigation datasets are constrained by coarse spatial resolutions, a lack of timeliness, or varying robustness and reliability. To address this gap, here [they] integrate[d] multi-source Earth observation and environmental datasets and use[d] machine learning to develop a medium-resolution (30 metre) global irrigated area dataset for the 2023/24 growing season. Within existing cropland extent, we leverage a newly compiled set of georeferenced irrigated (N=230,683) and non-irrigated (N=153,194) ground-truth points and integrate seasonal vegetation metrics derived from Landsat 8/9 imagery with agroecological-zone information and hydroclimatic and topographic variables. [They] subsequently develop and evaluate two machine-learning frameworks, a continental Agro-Ecological Zone (AEZ) tile-based framework and a continental-scale framework, and apply the best-performing approach for each continent. Evaluation using held-out test samples yielded a global accuracy of 80.5 ± 2.1%. The resulting maps were also validated against independent global and national irrigation datasets and statistics, demonstrating broad agreement in the spatial distribution of irrigated areas. This approach is robust and reliable because it is built on a harmonized global ground-truth database, incorporates multiple predictors, and is rigorously validated using independent datasets. All code, ground-truth, and data products are freely and publicly available [link above] and can serve as a robust, scale-neutral, and fully reproducible framework for fine-resolution irrigation mapping. These advances provide the critical and long-needed foundation for near-real-time monitoring and early warning systems, and fine-scale land and water resource management…”
#IrrigatedAreas #Mapping #GIS #spatial #mapping #spatialanalysis #spatiotemporal #global #irrigation #water #hydrology #hydrography #waterresources #farming #agriculture #opendata #remotesensing #earthobservation #geomorphometry #AI #machinelearning #LLM #model #modeling #WaterManagement #opendata #AgroEcologicalZone #AEZ #cropland #irrigatedareas #foodproduction #wateruse #humanimpacts #EarthObservation #remotesensing #earlywarning #monitoring #FoodandAgricultureOrganizationFAO #FAO
@FAO - Food and Agriculture Organization -
https://www.europesays.com/afrique/152737/ Safran : Taroudant mise sur les écoles aux champs pour moderniser la filière #FAO #Maroc #Safran #Taroudant
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https://www.europesays.com/afrique/152707/ Success Story | Kaouther Aounallah et ses pâtisseries Sweet Jana #dattes #FAO #KaoutherAounallah #Kebili #PâtisserieArtisanale #SweetJana #Tunisie #ZakiaGuenniche
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https://www.alojapan.com/1509786/japan-backs-aquaculture-livelihood-projects-during-lanao-del-sur-visit/ Japan backs aquaculture, livelihood projects during Lanao del Sur visit #agriculture #Aquaculture #Bangsamoro #BARMM #EmbassyOfJapan #FAO #Fisheries #FoodSecurity #HalalAquaculture #Japan #LanaoDelSur #Livelihood #MamintalAdiongJr #MarawiCityJail #PersonsDeprivedOfLiberty #PoonaBayabao #SustainableDevelopment #VisitJapan #YokotaNaobumi Japanese Minister for Economic Affairs YOKOTA Naobumi visited Lanao del Sur on July 7 to reaffirm Japan’s su
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https://www.alojapan.com/1509786/japan-backs-aquaculture-livelihood-projects-during-lanao-del-sur-visit/ Japan backs aquaculture, livelihood projects during Lanao del Sur visit #agriculture #Aquaculture #Bangsamoro #BARMM #EmbassyOfJapan #FAO #Fisheries #FoodSecurity #HalalAquaculture #Japan #LanaoDelSur #Livelihood #MamintalAdiongJr #MarawiCityJail #PersonsDeprivedOfLiberty #PoonaBayabao #SustainableDevelopment #VisitJapan #YokotaNaobumi Japanese Minister for Economic Affairs YOKOTA Naobumi visited Lanao del Sur on July 7 to reaffirm Japan’s su
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https://www.europesays.com/africa/320852/ Ethiopia excluded from global food crisis report despite ongoing humanitarian food needs #Ethiopia #EthiopiaExcludedFromGlobalFoodCrisisReportDespiteOngoingHumanitarianFoodNeeds #EthiopiaHungerCrisis #FAO #FoodInsecurity #HumanitarianSituationReport #WorldFoodProgramme
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https://www.europesays.com/afrique/149578/ Renforcement des capacités de lutte contre la rage animale en Tunisie #FAO #PandemicFund #RageAnimale #SantéAnimale #SantéPublique #Tunisie #vétérinaires #ZoonoseMortelle
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https://www.europesays.com/afrique/147899/ Renforcement de la résilience climatique des exploitations agricoles en Tunisie #AgricultureBiologique #biodiversite #Biorest #ChangementClimatique #FAO #Résilience #Sharp+ #Tunisie
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https://www.europesays.com/africa/314760/ Uganda Launches Strategic Roadmap, Early Warning System to Boost Disaster Readiness #AlexKakooza #DisasterPreparedness #EzanaKassa #FAO #IGAD #JoselynBigirwa #MarcusPrior #MinisterSamEngola #OfficeOfThePrimeMinister #SoftPower #SoftPowerNews #TopUgandaNews #Uganda #UgandaAnticipatoryActionRoadmap(2025–2031) #UgandaMultiHazardIntegratedEarlyWarningSystem #WFP
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“No hundís el Titanic porque encontraste un ratón”: la advertencia del Nobel frente a Trump
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“No hundís el Titanic porque encontraste un ratón”: la advertencia del Nobel frente a Trump
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La agricultura mundial crecerá un 13% hasta 2035 bajo un escenario de estabilidad https://www.vinetur.com/20260701103618/global-farm-output-will-rise-13-by-2035-fao-and-oecd-say.html #Agricultura #FAO #OCDE #Sostenibilidad #Emisiones
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Lula observa avanço da extrema direita e busca construir consensos no Mercosul, avalia analista internacional
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Lula observa avanço da extrema direita e busca construir consensos no Mercosul, avalia analista internacional
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https://www.walknews.com/1334471/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #EU #Europe #EuropeNews #EuropeanUnion #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ヨーロッパニュース #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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https://www.walknews.com/1334471/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #EU #Europe #EuropeNews #EuropeanUnion #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ヨーロッパニュース #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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https://www.walknews.com/1334471/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #EU #Europe #EuropeNews #EuropeanUnion #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ヨーロッパニュース #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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https://www.walknews.com/1334471/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #EU #Europe #EuropeNews #EuropeanUnion #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ヨーロッパニュース #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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https://www.wacoca.com/news/2873779/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #Europe #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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https://www.wacoca.com/news/2873779/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #Europe #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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https://www.wacoca.com/news/2873779/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #Europe #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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https://www.wacoca.com/news/2873779/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #Europe #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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https://www.wacoca.com/news/2873779/ プロバイオティクスがEUに年間100億ユーロの医療費削減効果、規制の壁が阻む可能性 ― IPA Europe ロザンナ・ペチェレ氏 #100億ユーロの削減試算 #Europe #FAO/WHOプロバイオティクス定義 #IPAEurope #プロバイオティクス価値洞察レポート #ヨーロッパ #ロザンナ・ペチェレ #栄養・健康強調表示規則 #欧州 #欧州連合（EU） #腸脳相関 #過敏性腸症候群（IBS）
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Moldova’s table grape growers race to meet EU standards
Production inputs are becoming more expensive, traditional export routes have been disrupted, and access to higher-value European markets…
#Moldova #MD #Europe #Europa #EU #ACSA #EUmarket #FAO #FarmerFieldSchools #Foodsafety #grapeexports #integratedcropmanagement #OCOP #pesticideresidues #post-harvesthandling #ruraldevelopment #sustainableagriculture #tablegrapes #vineyardmanagement
https://www.europesays.com/3096193/