O Comitê Executivo da Rede Brasileira de Pesquisa em Soberania e Segurança Alimentar e Nutricional tem a satisfação de confirmar a realização do III Encontro Nacional de Pesquisa em SSAN nos dias 08, 09 e 10 de Novembro de 2017, na cidade de Curitiba (PR), em local ainda a ser escolhido entre as opções existentes.

This forum will bring together each of the key themes and players from our previous events on smallholder farmer resilience, deforestation and sustainable agriculture. The Sustainable Landscapes Conference will tackle the biggest issues faced by business in creating a net positive impact and ensuring sustainable and resilient agricultural supply chains.

Post-war societies not only have to deal with continuing unpeaceful relations but also land-related conflict legacies, farmland and forest degradation, heavily exploited natural resources, land mines, a destroyed infrastructure, as well as returning refugees and ex-combatants. In the aftermath of war, access to and control of land often remains a sensitive issue which may precipitate tensions and lead to a renewed destabilization of volatile post-conflict situations.

Land consolidation is a well-proven land management instrument, which has traditionally been used for agricultural development with a main objective of reducing land fragmentation and increasing holding and farm sizes. Some European countries have a land consolidation tradition that goes back a hundred years or more. It is also widespread in particular in countries in Asia but also in Africa.

The webinar will promote good land banking practices and their practical application in countries of Eastern Europe and Central Asia with specific focus on the development of small family farms and providing young farmers access to land.

The 49th Session of the Committee on World Food Security (CFS) will be held virtually from 11 to 14 October 2021.

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new online advanced webinar series: Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing. This three-part training, presented in English and Spanish, is open to the public and builds on previous ARSET agricultural trainings. Here we present more advanced radar remote sensing techniques using polarimetry and a canopy structure dynamic model to monitor crop growth. The training will also cover methods that use machine learning methods to classify crop type using a time series of Sentinel-1 & Sentinel-2 imagery. This series will include practical exercises using the Sentinel Application Platform (SNAP) and Python code written in Python Jupyter Notebooks, a web-based interactive development environment for scientific computing and machine learning.

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. 

The 52nd Plenary Session of the Committee on World Food Security (CFS 52) was held from 21 to 25 October 2024 in Rome, Italy.