Early Detection of Plant Stress

In a world grappling with challenges like population growth and climate change, the agriculture sector faces mounting pressure to feed a growing global population sustainably. The current production practices, if continued, would require an area twice the size of India to meet food demand by 2050, exacerbating environmental degradation. Moreover, the agri-food sector’s operations contribute significantly to carbon dioxide emissions, underscoring the urgent need for innovative solutions to mitigate these impacts.

Climate variability poses a substantial threat to agriculture, with unpredictable weather events and shifting atmospheric conditions subjecting plants to stress. This stress, resulting from factors like extreme temperatures, flooding, pathogens, and pests, can severely impact crop yields and productivity. Addressing plant stress is vital to sustaining agricultural output and meeting food security goals while minimizing environmental harm and resource inefficiencies.

In response to these challenges, farmAIr emerges as a pioneering AgriTech company, revolutionizing crop management through cutting-edge technology. By employing thermal and digital cameras, machine learning, and artificial intelligence, farmAIr detects plant stress at the leaf level, providing early warnings to farmers. This proactive approach allows farmers to intervene before symptoms manifest, preserving crop health and optimizing yields. With plans to expand beyond vineyards to various plant types, farmAIr is poised to empower farmers worldwide with innovative solutions for sustainable agriculture.