New Study shows: What crop advisors really want from AI tech and how precision ag producers will decide on AI adoption.

Research Highlights:

Discrete choice experiments quantify trade-offs in crop advisors’ preferred AI-DSS features.

Advisors favor simplicity and satellite inputs over ultra-accurate or precision-heavy AI-DSS.

AI attitudes moderate acceptance: techno-optimists are more open to data-intensive AI-DSS.

Implications: built trust, ensure cost transparency, and align AI-DSS with user autonomy to boost adoption.

Green hydrogen is considered to be an important part of the global climate transition, especially as a fuel and energy carrier for heavy transport and industry. However, large-scale green hydrogen production requires sustainable ways of managing water resources to avoid giving rise to water shortages and conflicts with agriculture over access. This has been shown in a unique study from Chalmers University of Technology in Sweden, that connects local water supply with a range of scenarios for future hydrogen needs in Europe.

A research paper recently published in Science China Life Sciences reports that the transcription factors OsMADS18 and OsbZIP60 in rice interact to form a core transcriptional regulatory module. This module directly regulates chalkiness-related genes and activates the unfolded protein response (UPR) pathway, coordinately regulating the formation of stress-induced grain chalkiness. The findings highlight the central role of the OsMADS18–OsbZIP60 interaction in regulating rice grain quality and provide new insights into the genetic regulation of this agronomically significant trait.