3rd Edition of Agriculture, Forestry, and Horticulture World Conference 2027
Scientific Sessions - AFHWC 2027
Artificial Intelligence, Digital Agriculture and Smart Farming
Digital agriculture is the use of digital technologies to collect, analyse and act on information across the farming and food chain. It includes sensors in fields and greenhouses, the Internet of Things (IoT), mobile apps, cloud-based farm management platforms and, increasingly, artificial intelligence (AI). AI systems learn from large datasets such as weather records, soil tests, satellite images and crop photographs to recognise patterns that humans may miss. In practice this means predicting yields, detecting diseases from leaf images, forecasting pest outbreaks, recommending fertiliser doses and automating irrigation. Smart farming brings these tools together so that decisions are based on real-time data rather than routine or guesswork.
What You Will Learn
- How AI and machine learning are applied to yield, disease and pest prediction
- Building and using IoT sensor networks and farm data platforms
- What it takes to make digital tools work for smallholder farmers
- Opportunities for collaboration between agricultural scientists, data scientists and agri-tech companies
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