Soil Analysis and Crop Prediction-Reference-Cited by-同舟云学术

Soil Analysis and Crop Prediction

Published:2020-07-05 Issue: Volume: Page:117-123
ISSN:2395-602X
Container-title:International Journal of Scientific Research in Science and Technology
language:en
Short-container-title:IJSRST

Author:

Prabhu Shubham¹,Revandekar Prem¹,Shirdhankar Swami¹,Paygude Sandip¹

Affiliation:

1. Department of Electronics Engineering, KJ Somaiya Institute of Engineering and Information Technology, Sion, Maharashtra, India

Abstract

aSoil analysis is an important process to determine the available plant nutrients in the soil. Plants absorb the major nutrients through soil. In addition to soil, there are various major factors like rainfall, precipitation, fertilizer, etc that affect plant growth. Our aim is to create a prediction engine for most suitable crop for a particular soil. As an initial step, we have focused on predicting the accurate crop yield to the user by analyzing the soil fertility and rainfall in the region entered by the user as an input.

Publisher

Technoscience Academy

Subject

General Medicine

Reference11 articles.

1. Sadia Afrin, Abu TalhaKhan.“Analysis of Soil Properties and Climatic Data to Predict Crop Yields ” (2018 IEEE ICIS 2018).

2. Amrutha A, Lekha R, A Sreedevi “Automatic Soil Nutrients Detection and Fertilizers Dispensary System” 2016 IEEE International Conference on Robotics: Current Trends and Future Challenges (RCTFC)

3. SofianitaMutalib, S-N-Fadhlun, JamianShuzlina Abdul-Rahman, AzlinahMohamed“Soil Classification: An Application of Self Organising Map and k-means” 2010 IEEE 10th International Conference on Intelligent Systems Design and Applications.

4. Singh “Crop Selection Method to Maximize Crop Yield Rate using Machine Learning Technique”2015 IEEE, International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM).

5. “Analysis of Soil Behaviour and Prediction of Crop Yield using Data Mining Approach”2015 International Conference on Computational Intelligence and Communication Networks.

Cited by 13 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. Enhancing Agricultural Productivity: A Machine Learning Approach to Crop Recommendations;Human-Centric Intelligent Systems;2024-09-02

2. Smart Soil Nutrient Analyzer;2024 IEEE World Forum on Public Safety Technology (WFPST);2024-05-14

3. Leveraging Machine Learning for Soil Fertility Prediction and Crop Management in Agriculture;2024-04-29

4. A Smart Device for Monitoring Porosity and Moisture Levels of Various Soils;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

5. Machine Learning Based Water Requirement Prediction for Agriculture Before a Rainfall;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05