… any agriculture field. This system comprises of temperature, humidity and moisture sensor,
deployed in an agricultural … Decision tree algorithm, an efficient machine learning algorithm is …

… The goal of this research was to compare machine learning algorithms and linear … [32]
have shown applications of many computer vision, machine learning, and convolution neural …

… In this research, IOT and machine learning based technique capable of … Therefore, IOT and
machine learning ensures the high … The various machine learning is also applied to test the …

… Smart agriculture can be brought into the society by using … in the form of machine learning,
deep learning techniques to mimic … Machine learning in smart agriculture mainly focus on the …

… In this study, we provide a novel method for smart agriculture that makes use of two cutting-edge
tools: the Internet of Things and machine learning. Using both realtime and previously …

… Machine learning algorithms facilitate this process to a great extent for better results. In
this paper, the authors proposed an ML-based crop selection model based on the weather …

… In the previous work, many variations of smart agriculture systems … Along with this, several
machine learning techniques have … Efficient Machine and Deep Learning models have been …

… is expected to extract useful agricultural know-hows of experts and would lead to the realization
of a smart agriculture system. In this paper, as the first step to such a smart system in agri…

… In this section, we present our machine learning based data reduction algorithm (MLDR)
and its main principles. In MLDR, while capturing data, the nodes start a learning phase to …

… potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The
… Intelligence, deep learning and Internet of Things applications. The farming industry and …