text: **Other industry-specific tasks**
  
  There are also thousands of successful AI applications used to solve specific problems for specific 
  industries or institutions. In a 2017 survey, one in five companies reported having incorporated "AI" in 
  some offerings or processes.[178] A few examples are energy storage, medical diagnosis, military 
  logistics, applications that predict the result of judicial decisions, foreign policy, or supply chain 
  management. 
  
  AI applications for evacuation and disaster management are growing. AI has been used to investigate if 
  and how people evacuated in large scale and small scale evacuations using historical data from GPS, 
  videos or social media. Further, AI can provide real time information on the real time evacuation 
  conditions.[179][180][181] 
  
  In agriculture, AI has helped farmers identify areas that need irrigation, fertilization, pesticide treatments 
  or increasing yield. Agronomists use AI to conduct research and development. AI has been used to predict 
  the ripening time for crops such as tomatoes, monitor soil moisture, operate agricultural robots, conduct 
  predictive analytics, classify livestock pig call emotions, automate greenhouses, detect diseases and pests, 
  and save water. 
  
  Artificial intelligence is used in astronomy to analyze increasing amounts of available data and 
  applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the 
  development of new scientific insights." For example, it is used for discovering exoplanets, forecasting 
  solar activity, and distinguishing between signals and instrumental effects in gravitational wave 
  astronomy. Additionally, it could be used for activities in space, such as space exploration, including the 
  analysis of data from space missions, real-time science decisions of spacecraft, space debris avoidance, 
  and more autonomous operation. 