Construction and Application of Agricultural Economic Audit Model Based Big Data Analysis

Abstract

In the economic audit model based big data analysis of construction and application of agricultural economic audit. Plant pests are a major global danger to agricultural productivity because of how intense and extensive their outbreaks are becoming. Unfortunately, lesion image segmentation techniques used in the past to identify these pests are laborious and ineffective, making it difficult to generalize and implement the research's conclusions. This manuscript presents construction and application of agricultural economic audit model (AEAM-VONN) is proposed. Initially, the data is collected from Distributed Denial of Service attacks (DDos) data, in CIC NIDS datasets, IDS2019. Afterward, the data’s are fed to pre-processing. In pre-processing segment Cubature Kalman Filtering Method (CKFM) is used to clean the data. The pre-processed data are given into Adaptive Synchro Extracting Transform (ASET) and which is used to extract the features such as spectral indices, textural features, zonal statistics, plot boundary extraction, mosaicking. The extracted features from ASET are transferred to the Variational Onsager neural Network (VONN) for classification. The VONN method effectively classifies Binary classification and Multi class classification. The Botox Optimization Algorithm (BOA) is used to optimize the weight parameter of VONN. The proposed approach is implemented in Python, and several performance metrics, like precision, recall, accuracy ,FAR, F-score, and computation time, are used to measure the proposed (AEAM-VONN) method's efficiency.. Proposed AEAM-VONN method attains higher accuracy 89.80%,FI-Score 59.99%, higher precision0.3% and higher recall 68.90% for highly credible analyzed to the existing methods, like A Novel Deep Learning Models for Efficient Insect Pest Detection and Recommending an Organic Pesticide for Smart Farming(NDLM-EIPD-APSO), A Software Toolkit to Empower Precision Agriculture with GeoAI(STEP-AGAI-DNN) Research on Digital Communication Mode of National Traditional Sports Culture Based on BP Neural Network Prediction of DDoS attacks in agriculture 4.0 with the help of prairie dog optimization algorithm with IDSNet (PDA-PDO).