HYBRID ARTIFICIAL NEURAL NETWORK AND CASE BASED REASONING (HANNCBR) CLASSIFICATION MODEL FOR CLASSIFICATION OF AGRICULTURE DATA IN DIFFERENT AREA

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…

FRUIT GRADE VERIFICATION USING IMAGE PROCESSING TECHNIQUES

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…

FRUIT DISEASE IDENTIFICATION USING FEATURE EXTRACTION AND DATA MINING

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…

EMERGING TECHNOLOGIES FOR TRANSFORMING TEACHING AND LEARNING

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…

Enhanced Back Propagation Neural Network For Fruit Disease Prediction And Classification

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…

EDUCATIONAL DATA MINING

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 Preprocessing Using Enhanced Principal Component Analysis (Epca) For Agricultural Datasets

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…

Crop Yield Prediction Using With The Simulated Annealing Convolutional Neural Networks (SACNNS) Optimization Algorithm

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…