India is the second-largest aquaculture nation in the world. The inland aquaculture is a rapidly growing coastal region of South India. For inland aquaculture, productivity majorly depends on environment, power, and water availability. The investment, maintenance, and risk involved should be minimized to enhance the economic aspects of inland aquaculture farming. The running cost of power for water pumping and aerators is becoming a burden for the farmers. The risks involved due to environmental conditions and water quality parameters should be predicted, and preventive measures should be taken to enhance farmers’ profits. Further, to minimize the effort of aqua labor and labor costs for farmers, automation should be made in aquaculture. To overcome these problems, this chapter proposes an Internet of Things (IoT) solution for aquaculture. The primary solution is a Photovoltaic (PV) based water pumping system. Its objective is to minimize the running cost for diesel-based water pumping systems, and for power-based, the number of units for electricity consumption can be minimized. The secondary objective is to detect and automate water quality parameters using IoT. These objectives minimize the risk and investment cost and enhance the farmers’ profit.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

IoT Based Water Quality and Sustainable Photovoltaic Water Pumping System for Inland Aquaculture

  • G. Harish Kumar Varma,
  • B. Venugopal Reddy,
  • A. Hemanth Kumar Raju,
  • Rohit Kumar Jain,
  • T. Vamsi Nagaraju,
  • G. Sri Bala

摘要

India is the second-largest aquaculture nation in the world. The inland aquaculture is a rapidly growing coastal region of South India. For inland aquaculture, productivity majorly depends on environment, power, and water availability. The investment, maintenance, and risk involved should be minimized to enhance the economic aspects of inland aquaculture farming. The running cost of power for water pumping and aerators is becoming a burden for the farmers. The risks involved due to environmental conditions and water quality parameters should be predicted, and preventive measures should be taken to enhance farmers’ profits. Further, to minimize the effort of aqua labor and labor costs for farmers, automation should be made in aquaculture. To overcome these problems, this chapter proposes an Internet of Things (IoT) solution for aquaculture. The primary solution is a Photovoltaic (PV) based water pumping system. Its objective is to minimize the running cost for diesel-based water pumping systems, and for power-based, the number of units for electricity consumption can be minimized. The secondary objective is to detect and automate water quality parameters using IoT. These objectives minimize the risk and investment cost and enhance the farmers’ profit.