The global climate is undergoing a remarkable change with rises in temperature, increases in global warming effects, melting glaciers, ocean acidification, acid rains, extreme weather events, changing rainfall patterns, and changing ecosystems. These factors significantly reduce productivity and crop production, leading to global food scarcity, severe hunger, poverty, and health issues. The adoption of smart climate agricultural practices, which are essential for maximizing resources and lowering agriculture-related emissions, can address these kinds of problems. Advanced technology allows for the prediction of crop loss due to disease infestation, insects, pests, fog, and other factors, enabling proactive remedial actions to minimize losses. Artificial intelligence (AI) utilizes sensor-based, collected data relating to crop health, environment, and soil properties for better prediction and environmentally conscious decision making for effective handling of agricultural crops. IoT based irrigation, fertigation, agricultural vehicles, animal management, and green house microclimate regulations are some of the advanced systems using sensors, communications, artificial intelligence, and actuators together to be required to maintain agricultural activities as and when required. While satellites and Unmanned aerial vehicle (UAVs) help in the collection of a pool of raw data, useful findings, and critical information, they are essentially needed for the algorithm of AI and its effective working to be embedded in various agricultural machinery. A variable rate of input application based on collected critical information is possible through precisely regulating microcontrollers and actuators. In addition, computer vision systems analyze critical information precisely and use it to actuate agricultural robots to perform weeding or harvesting activities. Finally, tech enabled smart climate agriculture offers a holistic approach to sustainable food production that balances environmental stewardship, economic viability, and social responsibility, ultimately benefiting farmers, consumers, and the planet.

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Tech-Enabled Sustainability: Leveraging Technology for a Greener Future Through Smart Climate Agriculture

  • Jyotirmay Mahapatra,
  • Jagjeet Singh,
  • Debasis Gountia,
  • Ramesh K. Sahni

摘要

The global climate is undergoing a remarkable change with rises in temperature, increases in global warming effects, melting glaciers, ocean acidification, acid rains, extreme weather events, changing rainfall patterns, and changing ecosystems. These factors significantly reduce productivity and crop production, leading to global food scarcity, severe hunger, poverty, and health issues. The adoption of smart climate agricultural practices, which are essential for maximizing resources and lowering agriculture-related emissions, can address these kinds of problems. Advanced technology allows for the prediction of crop loss due to disease infestation, insects, pests, fog, and other factors, enabling proactive remedial actions to minimize losses. Artificial intelligence (AI) utilizes sensor-based, collected data relating to crop health, environment, and soil properties for better prediction and environmentally conscious decision making for effective handling of agricultural crops. IoT based irrigation, fertigation, agricultural vehicles, animal management, and green house microclimate regulations are some of the advanced systems using sensors, communications, artificial intelligence, and actuators together to be required to maintain agricultural activities as and when required. While satellites and Unmanned aerial vehicle (UAVs) help in the collection of a pool of raw data, useful findings, and critical information, they are essentially needed for the algorithm of AI and its effective working to be embedded in various agricultural machinery. A variable rate of input application based on collected critical information is possible through precisely regulating microcontrollers and actuators. In addition, computer vision systems analyze critical information precisely and use it to actuate agricultural robots to perform weeding or harvesting activities. Finally, tech enabled smart climate agriculture offers a holistic approach to sustainable food production that balances environmental stewardship, economic viability, and social responsibility, ultimately benefiting farmers, consumers, and the planet.