[PDF] Top 20 An Effective Soil Classification and Prediction of Crop Yield Using Spatial Big Data
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An Effective Soil Classification and Prediction of Crop Yield Using Spatial Big Data
... the crop yields and specialist knowledge databases, which was designed to forecast the spatial distribution of yields for a variety of arable crops such as the winter wheat, winter barley, winter rye, ... See full document
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INTELLIGENT AND EFFECTIVE CROP YIELD PREDICTION USING MACHINE LEARNING TECHNIQUES FOR CLOUD-BASED BIG DATA ANALYTICS
... ANN was a pioneer over 40 years ago, and today there is incredible enthusiasm for the neural system because a false system shares some of the physical and conductive parts of a natural. The ANN structure, which is an ... See full document
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Estimation of Major Agricultural Crop with Effective Yield Prediction using Data Mining
... III. CROP PRODUCTION AND FORECASTING USING DM TECHNIQUE It is easy to set up relationship among the tedious process by using data mining ...agricultural data set to forecast the ... See full document
5
Analysis of soil and prediction of crop yield (Rice) using Machine Learning approach
... of soil, selection of crop best suited for soil and they also lack in efficient method of prediction of crop well in advance so that appropriate methods can be used to improve ... See full document
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A big data approach to predicting crop yield
... of crop yield monitor data for their paddocks which are often augmented with additional spatial data such as gamma radiometrics surveys or ECa (apparent soil electrical ... See full document
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Review on Crop Yield Prediction using Data Mining Focusing on Groundnut Crop and Naive Bayes Technique
... Keywords: Data Mining, Crop Yield Prediction, Naive Bayes Method ...INTRODUCTION Data Mining is the discovering of knowledge from large dataset. Data mining operations like ... See full document
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Title: Providing Novel Approach for Classification of Soil and Crop Prediction Using Decision Support System
... of Soil Behaviour and Prediction of Crop Yield using Data Mining Approach” introduced that Data mining in agriculture field is somewhat a novel research ...field. ... See full document
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SOIL CLASSIFICATION AND CROP SUGGESTION USING MACHINE LEARNING
... Big data analysis is used in discover novel solutions which means analyzing bulky data set ,so which place a decision making in agricultural ...good yield and bad yield based on ... See full document
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Big Data Application in Agriculture to Maximize the Rice Yield Crop Production using Data Mining Techniques
... paper, yield prediction is the main objective, if farmers get approximate information about the future yield prediction; they can improvise the yield, if production is ...less. ... See full document
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Efficient Crop Yield Prediction using Machine Learning Algorithms
... Keywords- Crop Yield Estimation, Support Vectors, Least Squared Support Vector machine, Data Analytics, Agriculture ...on crop yield production in an effective ...investigated ... See full document
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Crop Yield Prediction Based on Agrometeorological Indexes and Remote Sensing Data
... the spatial continuous yield data in the survey ...a crop growth model. The production efficiency model assumes that crop yields under nonstressed conditions correlate linearly with the ... See full document
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Spatial Data Mining Using Novel Neural Networks for Soil Image Classification and Processing
... Validation: Soil Functionality and Importance: Soil is different things to different ...geologist soil is the unconsolidated, weathered part of the earth's mantle, an insignificant, small fraction of ... See full document
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SOIL N P K PREDICTION USING LOCATION AND CROP SPECIFIC RANDOM FOREST CLASSIFICATION TECHNIQUE IN PRECISION AGRICULTURE
... required soil N-P-K (Nitrogen- Phosphorus-Potassium) content by utilizing one time soil testing results of available soil N-P-K contents as per the yield ...experimental data sets from ... See full document
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A Survey on Rice Crop Yield Prediction in India Using Improved Classification Technique
... many classification techniques like Support Vector Machine(SVM), LADTree, Naïve Bayes, Bayesnet, K Nearest Neighbour(KNN), Locally Weighted Learning(LWL) on rice crop production ...increase ... See full document
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CROP YIELD PREDICTION
... Keywords: Crop yield, Data sets, Analysis and Prediction, Bayesian algorithm. INTRODUCTION: From ancient period, agriculture is considered as the main and the foremost culture practiced in ... See full document
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CLASSIFICATION AND CLUSTERING IN YIELD PREDICTION BASED ON SOIL PROPERTIES
... Abstract: Data mining in agriculture is becoming a trending ...disease prediction, yield prediction based on rainfall and temperature, assuring quality of apples ...i.e Yield ... See full document
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Crop Yield Prediction Using Machine Learning
... Keywords: Random Forest Algorithm; Machine Learning; Crop Yield Prediction; Millet Crop Yield; Support Vector Machine; Linear Regression. ———————————————————— 1. INTRODUCTION ... See full document
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Incorporating spatial variability in soil and crop properties for effective irrigation
... collect data from the experiments conducted at Department of Employment, Economic development and Innovation’s research station and also for their valuable suggestions in my ... See full document
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Incorporating spatial variability in soil and crop properties for effective irrigation
... collect data from the experiments conducted at Department of Employment, Economic development and Innovation’s research station and also for their valuable suggestions in my ... See full document
216
A Survey on Crop Yield Prediction based on Agricultural Data
... the crop production but unpredictable changes in these factors lead to a great loss to ...on data related to soil, weather and past ...of data mining, crop yield can be predicted ... See full document
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