We are interested in cooperating with others who want to study agroecological processes at two rather unique family farms that are profitable using traditional farming methods at the geographic midpoint of Sweden at 62 degrees north. We have identified several natural experiments that span over multiple generations at the farms to test various pressing agro-ecological hypotheses rigorously. The first farm focuses on an entirely pasture grazing beef herd with emphasis on zero chemical inputs and maximising biodiversity above and below ground with customised breeding for the landscape. The second farm has an exceptional dairy herd of the traditional but rare breed of Swedish mountain cows that autonomously graze in modern production forests all summer. The main interest would be around quantifying with appropriate metrics the actual ecosystem services rendered by these profitable family farms, that have adapted traditional methods, to raise cattle for meat and milk on pastures and forests in the middle of Sweden. Such services include: above and below ground bio-diversity of flora and fauna, health of soils, plants and animals, carbon sequestration and the ensuing nutritional density in their meat and milk. Our non-farming team includes academics at Uppsala University (Sweden) and Swedish University of agricultural sciences (Sweden) and Vilnius University (Lithuania) with specialisation in AI/data science, natural resource management and portable biosensors. We are looking for at least one partner outside Sweden and Lithuania who has complementary expertise in regenerative farming, social and economic aspects of small farms, measuring biodiversity, measuring nutritional density, rhizosphere ecology, or other similar areas, to join our team. Our primary aim is to scientifically measure, test and learn to scalably replicate the agroecological farming practices and processes at these rather uniquely regenerative and increasing rare family farms, that are profitably producing milk and meat from healthy soils while enhancing biodiversity .

https://en.wikipedia.org/wiki/Uppsala_University "Uppsala University (UU) (Swedish: Uppsala universitet) is a public research university in Uppsala, Sweden. Founded in 1477, it is the oldest university in Sweden and the Nordic countries still in operation....The university has nine faculties distributed over three disciplinary domains: Humanities and Social Sciences, Medicine and Pharmacy, and Science and Technology. As of 2020, it had approximately 52,000 registered students at the undergraduate and postgraduate levels and 2,200 PhD students."

https://en.wikipedia.org/wiki/Swedish_University_of_Agricultural_Sciences "The Swedish University of Agricultural Sciences, or Swedish Agricultural University (Swedish: Sveriges lantbruksuniversitet, SLU) is a public research university in Sweden. .... Unlike other state-owned universities in Sweden, SLU is funded through the budget for the Ministry of Enterprise and Innovation[4] (previously the Ministry for Rural Affairs). In 2020, the university had 3,155 full-time staff, 4,216 full-time students, 559 research students and 191 professors.

https://en.wikipedia.org/wiki/Vilnius_University "Vilnius University (Lithuanian: Vilniaus universitetas) is a public research university, which is the first and largest university in Lithuania, as well as one of the oldest and most prominent higher education institutions in Central and Eastern Europe. Today, it is Lithuania's leading research institution, ranked among the Top 29% Higher Education Institutions in the world."

https://vake.works/about/ "VakeWorks AB Our vision is to use systems research and thinking from an algorithms-machines-lives-planet perspective, to create regenerative and resilient living systems that are economically profitable and beneficial to society and the planet. Thus, the company conducts, facilitates, and enables production, research, development, teaching, and training activities through regenerative approaches to agriculture, aquaculture, forestry, agritourism, and health, as well as consulting and teaching activities in knowledge-intensive areas, including data science, data engineering, machine learning, mathematics, statistics, AI, natural resource management, and therewith compatible activities."