AI technology helps optimize planting decisions for corn cultivation, reducing production costs.
Researchers at the University of Missouri used AI models to integrate soil, terrain, and historical yield data to develop variable seeding plans. Field trials show that this technology can effectively improve corn planting efficiency and reduce waste of fertilizers and pesticides, but its application to soybeans is significantly affected by weather conditions.
Amid macroeconomic fluctuations, Argentina has fostered a cohort of agtech startups centered on efficiency, resilience, and global scalability, whose depth of innovation far exceeds the current capital market's perception.
The global smart greenhouse market size is expected to grow from $7.9 billion in 2026 to $27.17 billion in 2034, with a significant compound annual growth rate. How is smart greenhouse technology reshaping modern agriculture?
According to a report by Allied Market Research, the global precision agriculture market is expected to reach $23.1 billion by 2030, with a compound annual growth rate of 13.4%. The proliferation of IoT, artificial intelligence, and data analytics technologies is driving improvements in agricultural production efficiency and sustainability.
Global agriculture faces the enormous challenge of feeding a population of ten billion while reducing environmental impact. A latest research review points out that sustainable intensification is a feasible path through precision agriculture, waste resource utilization, digital technologies, and climate-smart practices.