Towards Paddy Rice Smart Farming: A Review on Big Data, Machine Learning, and Rice Production Tasks
نویسندگان
چکیده
Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a large impact on Smart Farming involve the whole supply chain, particularly for rice production. The increasing amount variety data captured obtained by these emerging technologies in IoT offer smart farming strategy new abilities predict changes identify opportunities. quality collected from sensors greatly influences performance modelling processes using ML algorithms. These three elements (e.g., BD, IoT) been used tremendously improve all areas production agriculture, which transform traditional practices into era or precision agriculture. In this paper, we perform survey latest research intelligent processing technology applied We describe elaborate role machine learning algorithms paddy analyzing applications various scenarios, irrigation rice, predicting yield estimation, monitoring growth, disease, assessing sample classification. This paper also presents framework that maps activities defined farming, each activity post-production phases rice. Based proposed mapping framework, our conclusion is an efficient effective integration very crucial cultivation perspective intelligence Finally, summarizes challenges technological trends towards exploitation multiple sources big
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3069449