OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Crop Recommendation on Analyzing Soil Using Machine Learning
Anguraj.K Et al.
Türk bilgisayar ve matematik eğitimi dergisi (2021) Vol. 12, Iss. 6, pp. 1784-1791
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Machine learning and IoT-based smart farming for enhancing the crop yield
Sai Sundaresan, S. Daniel Johnson, V. Mani Bharathy, et al.
Journal of Physics Conference Series (2023) Vol. 2466, Iss. 1, pp. 012028-012028
Open Access | Times Cited: 14

An effective crop recommendation method using machine learning techniques
Disha Garg, Mansaf Alam
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 102
Open Access | Times Cited: 9

Crop Recommender System
Shivanoori Sai Samhith, T. V. Rajinikanth, Burma Kavya, et al.
Lecture notes in electrical engineering (2024), pp. 609-619
Closed Access | Times Cited: 2

Smart Agriculture using Ensemble Machine Learning Techniques in IoT Environment
Liyakathunisa Syed
Procedia Computer Science (2024) Vol. 235, pp. 2269-2278
Open Access | Times Cited: 2

Farming Assistance for Soil Fertility Improvement and Crop Prediction using XGBoost
Mangesh Deshmukh, Amitkumar Jaiswar, Omkar Joshi, et al.
ITM Web of Conferences (2022) Vol. 44, pp. 03022-03022
Open Access | Times Cited: 9

Development of semi-automatic recalibration system and curve-fit models for smart soil moisture sensor
Roop Pahuja
Measurement (2022) Vol. 203, pp. 111907-111907
Closed Access | Times Cited: 9

An Acquisition Based Optimised Crop Recommendation System with Machine Learning Algorithm
Sasmita Subhadarsinee Choudhury, Priya B. Pandharbale, Sachi Nandan Mohanty, et al.
ICST Transactions on Scalable Information Systems (2023)
Open Access | Times Cited: 5

Smart Aeroponic Farms with IoT-Enabled Efficient Automation and Monitoring
R. Jeyabharath, P. Tamilvani, Gajasri Karthikeyan, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1

Spectroscopy Sensor and Mobile App and Artificial Intelligence Integration for Real-Time Soil Analysis and Crop Management in Precision Agriculture
Chirag Sharma, A L Harvendhar Singh Gurjeet Singh, Gagandeep Kaur, et al.
(2024), pp. 1-11
Closed Access | Times Cited: 1

Crop and Fertilizer Recommendation System Using Machine Learning
Radha Govindwar, S. M. Jawale, Tanmayee Kalpande, et al.
Signals and communication technology (2023), pp. 139-149
Closed Access | Times Cited: 4

Crop and Fertilizer Recommendation System Applying Machine Learning Classifiers
S. Iniyan, M. Senthil Raja, R. Srinivasan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4

Automatic Crop Expert System Using Improved LSTM with Attention Block
Shahbaz Sikandar, Rabbia Mahum, Suliman Aladhadh
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 2, pp. 2007-2025
Open Access | Times Cited: 3

Crop Recommendation System Using Machine Learning
Pravallika, Nikhil, Yogi Yogi, et al.
(2023) Vol. 9001, pp. 523-530
Closed Access | Times Cited: 3

GARDENPRO - Android Mobile Application for Home Garden Management Using Machine Learning Augmented Reality and IOT
Dilshika Netthikumarage, Lashan Liyanage, S.M.H.N. Samarakoon, et al.
(2022), pp. 300-305
Closed Access | Times Cited: 4

A Machine Learning-Driven Crop Recommendation System with IoT Integration
Al Amin Islam Ridoy, Md. Abu Ismail Siddique, Oishi Joyti
(2024), pp. 812-817
Closed Access

Agrifficient - Synergizing Agro Insights through Advanced Analytics and Imaging Technologies
Tanisha Gondke, Ritu Jadhav, Pallavi Thakur
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access

Agro-Insight: Recommendation System Using Machine Learning
Shaik Salma, M. Asha Priyadarshini, Poluri Manaswini, et al.
Advances in computer science research (2024), pp. 824-834
Open Access

Advancing Precision Agriculture: Machine Learning-Based Crop Recommendation for Optimal Yield
Mohamed Bouni, Badr Hssina, Khadija Douzi, et al.
Communications in computer and information science (2024), pp. 80-93
Closed Access

IoT-Based Crop Recommendation System Using SVM and Decision Tree Algorithm
Charumathy, Jaspin, Andrea Joe Lorett
Communications in computer and information science (2024), pp. 198-214
Closed Access

Drought Prediction for Farmers and Providing a Sustainable Farming Solution using IoT and Machine Learning
M S Suvetha, Martina Jose Mary M, Shyamala Devi.R, et al.
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024) Vol. 8, pp. 1-6
Closed Access

Agrarian Synthesis and Precision Cultivation Optimization System
S Tharaniya, J Vignesh, Nandhitha Karthikeyini M, et al.
Journal of Soft Computing Paradigm (2024) Vol. 6, Iss. 1, pp. 40-54
Open Access

Crop Recommendation System Using Machine Learning: A Comparative Study
N. Acharya, Prajwal Khatiwada, Rakesh Pandey, et al.
International Journal on Engineering Technology (2024) Vol. 1, Iss. 2, pp. 302-311
Open Access

Ensemble Machine Learning Model for Better Crop Production
Tanushree Chakraborty, A. K. Bose, Akash Samanta, et al.
(2024), pp. 129-141
Closed Access

Crop Recommendation System Using Machine Learning and IoT: A Survey
Kishan Babu Kancharagunta, Yaganteeswarudu Akkem, Madhu Vembadi, et al.
Lecture notes in networks and systems (2024), pp. 63-86
Closed Access

Machine Learning and IoT Driven Precision Agriculture for Indian Crop Selection
Perini PraveenaSri, Vaddi Naga Padma Prasuna, M. Shilpa, et al.
Lecture notes in electrical engineering (2024), pp. 221-237
Closed Access

Page 1 - Next Page

Scroll to top