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Japanese farmers are increasingly turning to AI-based smartphone applications to manage crop pests more effectively. These apps utilize machine learning and big data to provide timely forecasts and recommendations, helping farmers like Hiroaki Asakura make informed decisions about pesticide use. This shift is particularly crucial as Japan faces labor shortages in agriculture due to an aging population.
The AI applications not only enhance pest management but also support sustainable farming practices by reducing pesticide usage. Companies like Mirai Vegetable Garden, Nihon Nohyaku, and NTT Data CCS are at the forefront of this technological advancement, offering tools that analyze historical pest data and weather patterns. As climate change continues to impact agriculture, these innovations are essential for adapting farming practices to new environmental realities.
• AI apps help farmers forecast crop pests and improve yields.
• Machine learning analyzes data to recommend timely pesticide applications.
Machine learning algorithms analyze large datasets to predict pest outbreaks and suggest solutions.
Big data refers to the vast amounts of information used to improve agricultural decision-making.
Mirai Vegetable Garden develops AI applications that provide pest forecasts to farmers, enhancing crop management.
Nihon Nohyaku collaborates with NTT Data CCS to create AI tools for identifying crop diseases and pests.
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