AI could help farmers cut weather-related crop losses by 25% as global food demand soars

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Autonomous robot cornfield scanner reveals how individual crops respond to climate change

The AI in agriculture market was valued at USD 600 million in 2018 and is expected to reach USD 2.6 billion by 2025. Agriculture is seeing rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML), both in terms of agricultural products and in-field farming techniques.

The major factors driving the growth of the AI in agriculture market include …. the growing demand for agricultural production owing to the increasing population.

According to Apurva Agarwal, Associate Director, Electronics and Semiconductor, MarketsandMarkets “The combination of the Internet of Things (IoT) and artificial intelligence technologies …. [allows] farmers to analyze real-time data of weather conditions, temperature, soil moisture, plant health, and crop prices in real time.”

Related article:  Keeping artificial intelligence free of intentional bias

Transforming weather forecast with AI

Weather tracking and forecasting are important applications of AI in agriculture as it facilitates gathering up-to-date information of prevailing weather conditions such as temperature, rain, wind speed and direction, and solar radiation. According to a research study, 90% of crop losses are due to weather events and 25% of these losses could be prevented by using predictive weather modelling.

Read full, original article: Rapid adoption of artificial intelligence in agriculture

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