Data Mining in Soil & Plant Nutrient Management, Recent Advances and Future Challenges in Organic Crops

Author:

Abstract

Data mining procedures are colossally regarded in the examination field of cultivating. The cultivating factors atmosphere, deluge, soil, pesticides, and fertilizers are the basic careful perspective to raise the age of yields. The key piece of agribusiness is Soil for yield creating. Examination of soil is a basic bit of soil asset the administrators in development. The earth examination is especially significant for cultivators to observe which sort of harvests to be made in a specific soil condition. The rule focal point of this work is to look at soil supplements utilizing data mining gathering techniques. A broad enlightening record of soil supplements status database was accumulated from the Department of Agriculture, Cooperation and Farmers Welfare. The database contains the estimation of soil supplements for each and every different state. This work takes some district of Tamil Nadu in India to look at the soil supplements. Specific sort's earth has a different variety of improvements. This paper picks Nitrogen, Phosphorus, Potassium, Calcium, Magnesium, Sulfur, Iron, Zinc, and so on, supplements for investigating the earth upgrades utilizing Hybrid procedure of Neural framework. The execution of the portrayal computations is taken a gander at subject to the going with two factors: accuracy and execution time

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Management of Technology and Innovation,General Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Soil mapping for farming productivity: internet of things (IoT) based sustainable agriculture;Microsystem Technologies;2024-03-04

2. Plant Disease Detection Automation Using Deep Neural Networks;Communications in Computer and Information Science;2024

3. ConvNet of Deep Learning in Plant Disease Detection;Lecture Notes in Networks and Systems;2022-10-28

4. Prognostic of Soil Nutrients and Soil Fertility Index Using Machine Learning Classifier Techniques;International Journal of e-Collaboration;2022-07-08

5. Climatic Analysis for Agriculture Cultivation in Geography Using Big Data Analytics;Intelligent Computing and Innovation on Data Science;2021

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