Facebook Live chat with IFPRI’s Berber Kramer: “Seeing really is believing”
Seeing really is believing: a winning project is providing farmers with innovative and personalised insurance services by harnessing the photos from their smartphones.
by Stefanie Neno | Jan 24, 2019 | Inspire news
Seeing really is believing: a winning project is providing farmers with innovative and personalised insurance services by harnessing the photos from their smartphones.
by Guest Contributor | Jan 15, 2019 | Inspire news
This study quantifies the capacity of near-surface remote sensing imagery (e.g. from unmanned aerial vehicles, smartphones, or fixed cameras) to accurately monitor crop phenology and physical disturbances to crop growth at field scales. Our analysis focuses on a pilot...by Guest Contributor | Jul 23, 2018 | Inspire news
By Aisling Irwin Published on https://www.scidev.net Picture-based crop insurance could make its debut in Kenya next year after a study in India found that it may avoid the pitfalls of other insurance schemes. As trained smallholders photograph their crops during the...by Stefanie Neno | Jul 16, 2018 | Inspire news
By Bidisha Barooah and Zeba Siddiqui Published on https://www.livemint.com/ Experts working in this area are now recommending the use of information and communication tools to help farmers regain faith in crop insurance schemes. The novel picture-based insurance (PBI)...by Hannah Craig | Jun 20, 2018 | Inspire news
Whether it’s dairy farmers in the Netherlands, cucumber farmers in Japan, cassava farmers in Tanzania, or your neighborhood gardeners, AI is taking root in agriculture and is helping farmers around the world.
CGIAR Platform for Big Data in Agriculture advocates open data for agricultural research for development. It considers that opening up research data for scrutiny and reuse confers significant benefits to society.
However, the Platform appreciates that not all research data can be open and that a broad range of legitimate circumstances may require data to be restricted.
As an integral component of its advocacy for open data, the Platform promotes responsible data management through the entire research data lifecycle from planning, collecting, storing, disclosing or publishing, transferring, discovery and archiving.
These guidelines were created from information collected from: review on best and emerging practices across various sectors in the fast changing landscape of privacy and ethics (130 external resources); privacy and ethic materials sourced from seven CGIAR centers; first draft was circulated for input and feedback across CGIAR and incorporated into this edition. It’s important to note that this is an evolving document, the next stage is to consult externally for further input.
These Guidelines are intended to assist agricultural researchers handle privacy and personally identifiable information (PII) in the research project data lifecycle.
Ensure compatibility with the DMP-PII (as above) and also the purpose for which prior informed consent has been obtained
Ensure PII is stored securely to protect privacy, through organizational or project specific safeguards to prevent unauthorized access, accidental disclosure or breach of data (physical & technical)
Don’t store data in unsecured locations or on unsecured devices or servers
Don’t store encrypted data and encryption keys in locations where they can be easily accessed simultaneously
Don’t underestimate the importance and value of administrative safeguards to standardize practices (i.e. organizational policies, procedures and maintenance of security measures that are designed to protect private information, data and access)