Machinery & Equipment

The AI model discovered that by optimising fertiliser management, it is possible to reduce global ammonia emissions by up to 38%. (Image source: HKUST)

An international research team led by the Hong Kong University of Science and Technology (HKUST) has developed an artificial intelligence (AI) model that can help mitigate global ammonia emission from agriculture

Snehaja Jonnalagadda inaugurates training course on 29 January 2024. (Image source: ICRISAT)

The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) on 10 February, concluded a highly impactful two-week training programme aimed at fostering innovation and technology commercialisation in African nations

Collo Analyser monitors total liquid quality in real-time with EMF sensors, machine learning and liquid fingerprints. (Image source: Collo)

Finnish deep tech company ColloidTek, has developed Collo Analyser, a new method for real–time liquid process quality monitoring, offering significant benefits for the food and beverage manufacturing industry

The new harvester will enable faster and more efficient grain harvesting, with lower energy consumption and lower costs for grain producers. (Image source: Adobe Stock)

In an attempt to radically change the industry approach to agricultural machinery, Australia-based start-up LINTTAS Electric Company aims to develop the worlds first electric combine harvester