Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
Researchers developed an iterative residual correction method that uses new soil profile data. It is intended to significantly improve the accuracy and reliability of existing probabilistic soil maps.
Read the original →Greek fruit processor Agrophoenix has implemented an AI-based peach grading system at its facility in Imathia. The STAQ system was developed by Dutch company QING and uses eight Stäubli SCARA robots.
Read the original →Australian researchers used mid-infrared spectroscopy and explainable machine learning to predict how much stable carbon soils hold. The method also estimates how much more carbon they could sequester.
Read the original →According to the World Bank, Nigeria is emerging as one of Africa's leading centres of AI activity, alongside Kenya and South Africa. As reported by the News Agency of Nigeria, the Bank said AI activity on the continent is currently concentrated in the three economies.
Read the original →Union Minister Jyotiraditya M. Scindia inaugurated the AI for Good Lab Workshop at India Mobile Congress 2026 in New Delhi on October 9. The workshop was organised jointly by the Department of Telecommunications.
Read the original →A computer science degree is no longer a special ticket, according to the article dated September 17, 2026. Graduates of Stanford and MIT remain in demand, but students have crowded into the major over the past 20 years, producing more programmers than companies need.
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