Could ultra-precise harvest forecast give China an advantage in Iran war fallout?

2026.03.22 02:20 China’s ability to predict grain output more than six months in advance with striking accuracy could protect the nation from food shortages as conflict in the Middle East causes global upheaval. Photo: Xinhua As tensions around Iran intensify, a potential disruption to global fertiliser supply chains is raising concerns about food production worldwide. But for China, an unusual advantage is coming into focus: the ability to predict grain output more than six months in advance with striking accuracy. That capability – refined over decades – could allow Beijing to move early, reshaping risk into strategic leverage. The Strait of Hormuz, a vital artery for global energy and commodity flows, has emerged as a key vulnerability. Roughly a third of global urea exports pass through the corridor, linking fertiliser markets directly to geopolitical stability. Urea production depends heavily on natural gas, meaning any sustained disruption to energy supplies or shipping routes can quickly drive up fertiliser costs. For farmers, higher input prices often translate into reduced application rates – and ultimately lower yields. The impact is already being felt across Asia. India, which imports a large share of its fertilisers from the Middle East, faces mounting pressure ahead of its planting season. Indonesia, reliant on Gulf sulphur for phosphate fertilisers, is also exposed. Such vulnerabilities highlight how a regional conflict could cascade into a broader shock to global food production. Each year, by late April, a research team from the Chinese Academy of Sciences submits secret, detailed national grain output forecasts and risk assessments to government agencies, providing a crucial lead time before the autumn harvest, which accounts for about 70 per cent of annual production. “The prediction error of the grain output data in 2025 compared with National Bureau of Statistics was 0.19 per cent, achieving an extremely high level of accuracy,” the team with the

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