Machine Learning and Artificial Intelligence are speeding up the development of new crop varieties to adapt to climate change — to sustain heat!

Climate Adaptation Summit 2021 took place on 25 January this year (2021), to accelerate the implementation of the 2015 Paris Agreement on Climate Change. The summit started, in the opening sessions, with the urgency to accelerate the implementation of the Paris Agreement. Economy is the Environment and Education (People). Time is limited to catch up and to keep the world under the 2 degrees Celsius, a pledge that was made five years ago.

Climate Change Adaptation Summit of 2021 — The opening of the summit, January 25, 2021
Figure 1: This model with embedded SDGs was developed by the Stockholm Resilience Center (Azote Images for Stockholm Resilience Centre — 2017).
Figure 2: Mean Temperature (°C) over time (on left stations and on right maps generated based on kriging techniques) for 4 different years (1995, 1975, 1995, and 2015) — Meteorological Data from Environment Canada
Figure 3: Record-Breaking Climate Trends Briefing — July 19, 2016 — Higher than normal temperatures are shown in red and lower then normal temperatures are shown in blue. Credit: NASA/GISS
Figure 4: Surfaces of temperatures used to search for traits in the samples — Illustration prepared by my friend Dag Endresen with whom and other colleagues from different countries we conducted this ML-based research.
Figure 5: Major genbanks worldwide with safety deposits in the Svalbard Global Seed Vault (Norway). The radius of the circles is proportional to the number of samples deposited (Credit: PLOS ONE — Global Ex-Situ Crop Diversity Conservation and the Svalbard Global Seed Vault: Assessing the Current Status — Ola T. Westengen et al. 2013)
Figure 6: This is the filed where we have conducted one of the experiments to screen for plant with traits while also carrying the virtual ML/AI screening. The plants screened for heat traits lower their surface temperature.

Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits

OperAI develops IoTs with Math and AI Embedded Solutions to speed up and streamline operational processes at the edges of the cloud.