Abstract: The process of creating natural resources for human survival and economic gain is known as agriculture. Agriculture, on the other hand, promotes economic fairness and helps people all around the world succeed. The COVID-19 outbreak has severely affected the Indian agriculture system. According to survey results, the pandemic has impacted production and sales due to workforce and logistical restrictions. The epidemic caused significant physical, social, economic, and emotional damage to all players in the Indian agriculture sector. The IoT has had a noteworthy effect since its introduction into the agricultural industry. This survey elaborates on cutting-edge smart farming technologies, including the IoT, cloud-fog computing, machine learning, and artificial intelligence, and thoroughly review their applicability in agriculture. This paper advances knowledge in the field by reiterating the issues with smart technology in agriculture emphasizing the worries found in the current smart agriculture framework and proposes a resource allocation algorithm that presents an optimal scheduling solution using the prediction method to inform the system about the incoming task request, considering the task priorities and assigning those requests to optimal resources for improved results in the context of delay, response time, and execution cost, and for processing the data set we supposed to use machine learning model.
Keywords: Smart Farming, Cloud Computing, Fog Computing, Image Processing, Machine Learning.
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DOI:
10.17148/IJARCCE.2024.13672
