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Climate change is increasingly impacting agriculture with rising temperatures, variable rainfall, and more frequent extreme weather events. This is particularly concerning for rice production in South Asia. Frontier technologies such as big data analytics (BDA), machine learning (ML), remote sensing (RS), and Internet of Things (IoT) are critical in developing smart innovations to mitigate these effects. Advancements in agriculture produce vast amounts of data, including soil health, geospatial maps, crop production, weather data, and survey results. BDA processes these data in cluster mode to extrapolate real-time situations and provide customized services to various stakeholders. Artificial intelligence (AI) and IoT enable real-time programming to make precise farm decisions. Through the lens of BDA along with the information and communication technology (ICT), climate data can be analyzed to generate insights such as patterns and trends and implement climate forecasting models. Predictive advisory services based on climate forecasts, early warning systems, and climate-informed crop calendars aid in crop monitoring and risk area identification, facilitating better farming decisions and risk reduction. A recent innovation in precision farming is the data-driven agronomic intelligence system, which offers location-specific tailored crop and soil management recommendations using ML techniques. This location intelligence assists fertilizer manufacturers in producing custom blends to address specific regional soil fertility issues. Similarly, the seed, pesticide, and market sectors can leverage this intelligence to reduce costs and increase resource-use efficiency. The International Rice Research Institute (IRRI) has developed various ICT tools and IoT solutions such as AutoMonPH, Rice Crop Manager, Rice Doctor, SeedCast, and EasyHarvest, supporting both scientific research and practical management solutions in rice farming. Climate-smart agriculture (CSA), with the deployment of BDA and ICT tools, is poised to significantly enhance smallholder farmers’ productivity and profitability by effectively monitoring and responding to climate change. However, achieving widespread adoption of CSA technologies requires transdisciplinary and collaborative efforts within an innovative system framework.

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Accelerating Climate Adaptation with Big Data Analytics and ICTs

  • 章节

  • 发表日期：

    2025年

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  • Sudhanshu Singh,
  • K. Srikanth Reddy,
  • Malay K. Bhowmick,
  • Ashish Kumar Srivastava,
  • Sunil Kumar,
  • Panneerselvam Peramaiyan

摘要

Climate change is increasingly impacting agriculture with rising temperatures, variable rainfall, and more frequent extreme weather events. This is particularly concerning for rice production in South Asia. Frontier technologies such as big data analytics (BDA), machine learning (ML), remote sensing (RS), and Internet of Things (IoT) are critical in developing smart innovations to mitigate these effects. Advancements in agriculture produce vast amounts of data, including soil health, geospatial maps, crop production, weather data, and survey results. BDA processes these data in cluster mode to extrapolate real-time situations and provide customized services to various stakeholders. Artificial intelligence (AI) and IoT enable real-time programming to make precise farm decisions. Through the lens of BDA along with the information and communication technology (ICT), climate data can be analyzed to generate insights such as patterns and trends and implement climate forecasting models. Predictive advisory services based on climate forecasts, early warning systems, and climate-informed crop calendars aid in crop monitoring and risk area identification, facilitating better farming decisions and risk reduction. A recent innovation in precision farming is the data-driven agronomic intelligence system, which offers location-specific tailored crop and soil management recommendations using ML techniques. This location intelligence assists fertilizer manufacturers in producing custom blends to address specific regional soil fertility issues. Similarly, the seed, pesticide, and market sectors can leverage this intelligence to reduce costs and increase resource-use efficiency. The International Rice Research Institute (IRRI) has developed various ICT tools and IoT solutions such as AutoMonPH, Rice Crop Manager, Rice Doctor, SeedCast, and EasyHarvest, supporting both scientific research and practical management solutions in rice farming. Climate-smart agriculture (CSA), with the deployment of BDA and ICT tools, is poised to significantly enhance smallholder farmers’ productivity and profitability by effectively monitoring and responding to climate change. However, achieving widespread adoption of CSA technologies requires transdisciplinary and collaborative efforts within an innovative system framework.