Crop Yield Prediction Using Naïve Bayes Algorithm
نویسندگان
چکیده
Agriculture is that the backbone of India and it plays important role in economy.It Is source production for about 58 per cent India’s population step with government day’s estimates, States’s food was 291.95 MT 2019-20; 2020-21, govt. had set target up to 298.3 MT, which two more from previous year’s output.Food must double by 2050 match country’s income growth. small marginal farmers, therefore, have a big within security meeting SDG goals.Nearly 14 (189.2 million) continues be undernourished India, line State Food Security Nutrition planet, 2020 report. planet Hunger Index placed at 94th position among 107 countries. Achieving ‘zero hunger’ 2030 also humungous challenge, needs an integrated multi-dimensional approach overall sustainable agriculture systems country.
منابع مشابه
Modified Naïve Bayes Based Prediction Modeling for Crop Yield Prediction
Most of greenhouse growers desire a determined amount of yields in order to accurately meet market requirements. The purpose of this paper is to model a simple but often satisfactory supervised classification method. The original naive Bayes have a serious weakness, which is producing redundant predictors. In this paper, utilized regularization technique was used to obtain a computationally eff...
متن کاملAnalysis of Crop Yield Prediction Using Data Mining Techniques
Agrarian sector in India is facing rigorous problem to maximize the crop productivity. More than 60 percent of the crop still depends on monsoon rainfall. Recent developments in Information Technology for agriculture field has become an interesting research area to predict the crop yield. The problem of yield prediction is a major problem that remains to be solved based on available data. Data ...
متن کاملPrediction of Potato Crop Yield Using Precision Agriculture Techniques
Crop growth and yield monitoring over agricultural fields is an essential procedure for food security and agricultural economic return prediction. The advances in remote sensing have enhanced the process of monitoring the development of agricultural crops and estimating their yields. Therefore, remote sensing and GIS techniques were employed, in this study, to predict potato tuber crop yield on...
متن کاملNeuro-fuzzy Modeling for Crop Yield Prediction
The purpose of this paper is to explore the dynamics of neural networks in forecasting crop (wheat) yield using remote sensing and other data. We use the Adaptive Neuro-Fuzzy Inference System (ANFIS). The input to ANFIS are several parameters derived from the crop growth simulation model (CGMS) including soil moisture content, above ground biomass, and storage organs biomass. In addition we use...
متن کاملImage Classification Using Naïve Bayes Classifier
An image classification scheme using Naïve Bayes Classifier is proposed in this paper. The proposed Naive Bayes Classifier-based image classifier can be considered as the maximum a posteriori decision rule. The Naïve Bayes Classifier can produce very accurate classification results with a minimum training time when compared to conventional supervised or unsupervised learning algorithms. Compreh...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International journal of scientific research in computer science, engineering and information technology
سال: 2022
ISSN: ['2456-3307']
DOI: https://doi.org/10.32628/cseit228338