Madagascar: une loi fragilisant les actes de propriétés des paysans fait polémique
04 Novembre 2021
Le texte, voté en juin 2021, propose la refonte de la loi de 2006 sur la propriété foncière.
sécurité alimentaire
Blogs
Catastrophes climatiques, migration et documentation des droits fonciers au Bangladesh
11 Octobre 2023
À l'approche des prochaines négociations internationales sur le climat, les agriculteurs des régions côtières du Bangladesh soulignent l'importance de droits fonciers solides et bien documentés face aux multiples catastrophes liées au changement climatique qui ont eu un impact négatif sur leur vie et leurs moyens de subsistance.
Catastrophes climatiques, migration et documentation des droits fonciers au Bangladesh
11 Octobre 2023
À l'approche des prochaines négociations internationales sur le climat, les agriculteurs des régions côtières du Bangladesh soulignent l'importance de droits fonciers solides et bien documentés face aux multiples catastrophes liées au changement climatique qui ont eu un impact négatif sur leur vie et leurs moyens de subsistance.
Catastrophes climatiques, migration et documentation des droits fonciers au Bangladesh
11 Octobre 2023
À l'approche des prochaines négociations internationales sur le climat, les agriculteurs des régions côtières du Bangladesh soulignent l'importance de droits fonciers solides et bien documentés face aux multiples catastrophes liées au changement climatique qui ont eu un impact négatif sur leur vie et leurs moyens de subsistance.
Events
Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
04 Mars 2024 - 18 Mars 2024
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture.
Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
04 Mars 2024 - 18 Mars 2024
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture.
Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
04 Mars 2024 - 18 Mars 2024
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture.
Library
Safeguarding land tenure rights in the context of agricultural investments
Training Resources & Tools
Août, 2017
Global
This course has been developed in response to the concerns about increasing large-scale land acquisitions and the need to increase investment in agriculture. The objective is to provide guidance to government authorities engaged in investment promotion, approval, and monitoring activities at all stages of the investment cycle.
Safeguarding land tenure rights in the context of agricultural investments
Training Resources & Tools
Août, 2017
Global
This course has been developed in response to the concerns about increasing large-scale land acquisitions and the need to increase investment in agriculture. The objective is to provide guidance to government authorities engaged in investment promotion, approval, and monitoring activities at all stages of the investment cycle.
Safeguarding land tenure rights in the context of agricultural investments
Training Resources & Tools
Août, 2017
Global
This course has been developed in response to the concerns about increasing large-scale land acquisitions and the need to increase investment in agriculture. The objective is to provide guidance to government authorities engaged in investment promotion, approval, and monitoring activities at all stages of the investment cycle.
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