Fruit diseases are always considered as a remarkable issue in the cultivating business carried out across the globe. This arises the need for manual checking framework. In this way, agriculturists require the manual analysis of fruits. Nevertheless, the continually manual watching does not provide adequate results and they generally require a heading from an expert.…
Lately the erratic weather conditions changes have prompted different polemics. The utilization of cropping designs that have been done from generation to generation regardless of environmental change and the environment is the reason. The advances in computing and information storage have given tremendous measures of data. The test has been to remove knowledge from this…
Most of the Indian population depend on agriculture. GDP contribution is high by agricultural sector when compared to the other sectors. The agricultural products serve the purpose of economic contribution. The products that are produced by farmers are in good quality and excess I quantity, but the problem here is that the farmer cannot directly…
– Machine learning is the recent research topic which attracts the attention of researchers worldwide. Automation of fruit grading and fruit detection system lays a vital role in field of agriculture and also in the consumer end too. This can be achieved by implementing the image processing techniques and data mining techniques. The image datasets…
Agriculture is one of the fields which produce data continually ensuring each of the four characteristics with fantastic development. There are various difficulties in preparing farming records which manages assortment of organized and unstructured configuration. One of the difficulties in farming industry involves fruit infection discovery and control. For this reason ranchers needed to screen…
The landscape of education is undergoing a profound transformation due to the rapid advancement of Information and Communication Technologies (ICT). These emerging technologies have the potential to revolutionize teaching and learning methodologies, fostering more personalized, engaging, and effective educational experiences. This paper explores some of the most promising ICT technologies and their implications for reshaping…
Data mining assumes an essential part in the dynamic cycle in numerous application territories. Information mining is essential for data handling and the executives. Plant sicknesses bargain efficiency which impacts public activity and economy of the country. The viable utilization of horticulture information mining can upgrade yield creation and give monetary advantage to the rancher…
Data mining methods and techniques are applied to educationally related data as part of the burgeoning field known as educational data mining (EDM). Education data mining is the name of an emerging multidisciplinary research field that applies data mining (DM) to the field of education. Its focus is on creating tools for examining the distinctive…
Data pre-processing is considered as the core stage in core and data mining. Standardization, discretization, and dimensionality decrease are notable strategies in data pre-processing. In this paper proposed Enhanced Principal component Analysis (EPCA) the effects of pre-processing strategies on the Agricultural for the accuracy of the dataset. Experiments were conducted utilizing the above-listed techniques and…
This paper introduces an innovative approach for precise crop yield prediction in Tamil Nadu, India, a region with diverse agricultural conditions. The Simulated Annealing Convolutional Neural Networks (SACNNs) optimization algorithm is employed to enhance the performance of Convolutional Neural Networks (CNNs). By leveraging a comprehensive agricultural dataset that includes weather information, soil characteristics, and historical…