Digital agriculture is perceived as the cornerstone to improve productivity, profitability, and sustainability of the agricultural enterprise. The involvement of smartphone with inbuilt sensors to acquire the information from the field is an extension of digital agriculture. The data acquired through the smartphone-based system is processed for informed decisions. At field level, the sensors are integrated with hardware and software to obtain, extract, and process the relevant information through decision support system (DSS). The dedicated smartphone APPs have eased the process of integration of data and activation of mobile robotic systems and actuators. Over the years, the smart technologies using machine learning, artificial intelligence, Internet of Things (IoT), and big data are gaining traction in the entire globe. These technologies are transforming the agricultural system so as to improve its efficacy and viability. In near future, it is expected that the integration of smart technologies and smartphone applications will reshape the agricultural system and improve production, productivity, and economic viability of agricultural crops. It will also reduce the drudgery involved in agricultural operations and streamline the activities with less intervention. The reduction in the manual intervention has the propensity to reduce the errors, minimize the wastage, lower the drudgery of human labor, and ensure the sustainability of the agricultural system. These developments can usher a revolution and provide a foundation to feed our burgeoning population from the shrinking resources and climate change.

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Smartphone-Based Smart Agriculture: Potential Challenges and Prospects

  • Mohd. Muzamil,
  • Sehreen Rasool,
  • Rizwan Ul Zama Banday,
  • Masrat Mohiuddin,
  • Sana Rasool,
  • Iqra Ali Reshi

摘要

Digital agriculture is perceived as the cornerstone to improve productivity, profitability, and sustainability of the agricultural enterprise. The involvement of smartphone with inbuilt sensors to acquire the information from the field is an extension of digital agriculture. The data acquired through the smartphone-based system is processed for informed decisions. At field level, the sensors are integrated with hardware and software to obtain, extract, and process the relevant information through decision support system (DSS). The dedicated smartphone APPs have eased the process of integration of data and activation of mobile robotic systems and actuators. Over the years, the smart technologies using machine learning, artificial intelligence, Internet of Things (IoT), and big data are gaining traction in the entire globe. These technologies are transforming the agricultural system so as to improve its efficacy and viability. In near future, it is expected that the integration of smart technologies and smartphone applications will reshape the agricultural system and improve production, productivity, and economic viability of agricultural crops. It will also reduce the drudgery involved in agricultural operations and streamline the activities with less intervention. The reduction in the manual intervention has the propensity to reduce the errors, minimize the wastage, lower the drudgery of human labor, and ensure the sustainability of the agricultural system. These developments can usher a revolution and provide a foundation to feed our burgeoning population from the shrinking resources and climate change.