Narendra Singh Chandel

1.2k total citations · 1 hit paper
41 papers, 645 citations indexed

About

Narendra Singh Chandel is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Narendra Singh Chandel has authored 41 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 9 papers in Ecology and 8 papers in Analytical Chemistry. Recurrent topics in Narendra Singh Chandel's work include Smart Agriculture and AI (23 papers), Spectroscopy and Chemometric Analyses (8 papers) and Remote Sensing in Agriculture (7 papers). Narendra Singh Chandel is often cited by papers focused on Smart Agriculture and AI (23 papers), Spectroscopy and Chemometric Analyses (8 papers) and Remote Sensing in Agriculture (7 papers). Narendra Singh Chandel collaborates with scholars based in India, United States and Philippines. Narendra Singh Chandel's co-authors include Dilip Jat, Yogesh Anand Rajwade, A. Subeesh, Subir Kumar Chakraborty, Kumkum Dubey, Mukesh Tiwari, C. R. Mehta, Kuldeep Singh, Satya Prakash Kumar and K. V. Ramana Rao and has published in prestigious journals such as Field Crops Research, Computers and Electronics in Agriculture and Applied Sciences.

In The Last Decade

Narendra Singh Chandel

37 papers receiving 619 citations

Hit Papers

Deep learning and computer vision in plant disease detect... 2025 2026 2025 10 20 30 40 50

Peers

Narendra Singh Chandel
Abhilash K. Chandel United States
Dilip Jat India
D. Stajnko Slovenia
Md Sultan Mahmud United States
D. Downey United States
Abhilash K. Chandel United States
Narendra Singh Chandel
Citations per year, relative to Narendra Singh Chandel Narendra Singh Chandel (= 1×) peers Abhilash K. Chandel

Countries citing papers authored by Narendra Singh Chandel

Since Specialization
Citations

This map shows the geographic impact of Narendra Singh Chandel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Narendra Singh Chandel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narendra Singh Chandel more than expected).

Fields of papers citing papers by Narendra Singh Chandel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narendra Singh Chandel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Narendra Singh Chandel. The network helps show where Narendra Singh Chandel may publish in the future.

Co-authorship network of co-authors of Narendra Singh Chandel

This figure shows the co-authorship network connecting the top 25 collaborators of Narendra Singh Chandel. A scholar is included among the top collaborators of Narendra Singh Chandel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Narendra Singh Chandel. Narendra Singh Chandel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chandel, Narendra Singh, et al.. (2025). Deep learning assisted real-time nitrogen stress detection for variable rate fertilizer applicator in wheat crop. Computers and Electronics in Agriculture. 237. 110545–110545. 2 indexed citations
2.
Chandel, Narendra Singh, Krishna Pratap Singh, Subir Kumar Chakraborty, et al.. (2025). Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture. Artificial Intelligence Review. 58(3). 53 indexed citations breakdown →
3.
Chandel, Narendra Singh, Subir Kumar Chakraborty, Abhilash K. Chandel, et al.. (2024). State-of-the-art AI-enabled mobile device for real-time water stress detection of field crops. Engineering Applications of Artificial Intelligence. 131. 107863–107863. 14 indexed citations
4.
Rajwade, Yogesh Anand, Narendra Singh Chandel, Abhilash K. Chandel, et al.. (2024). Thermal–RGB Imagery and Computer Vision for Water Stress Identification of Okra (Abelmoschus esculentus L.). Applied Sciences. 14(13). 5623–5623. 3 indexed citations
5.
Kumar, Manish, Narendra Singh Chandel, Dushyant Singh, & Laxman Singh Rajput. (2023). Soybean Disease Detection and Segmentation Based on Mask-RCNN Algorithm. Journal of Experimental Agriculture International. 45(5). 63–72. 7 indexed citations
6.
Jat, Dilip, Kumkum Dubey, Subir Kumar Chakraborty, et al.. (2023). Development of an automated mobile robotic sprayer to prevent workers' exposure of agro‐chemicals inside polyhouse. Journal of Field Robotics. 40(6). 1388–1407. 8 indexed citations
7.
Guru, Prabhat Kumar, et al.. (2022). Estimation of carbon emissions of agricultural machinery use in India. ORYZA- An International Journal on Rice. 59(3). 260–268. 2 indexed citations
8.
Chandel, Narendra Singh, Yogesh Anand Rajwade, Kumkum Dubey, et al.. (2022). Water Stress Identification of Winter Wheat Crop with State-of-the-Art AI Techniques and High-Resolution Thermal-RGB Imagery. Plants. 11(23). 3344–3344. 34 indexed citations
9.
Subeesh, A., Kuldeep Singh, Narendra Singh Chandel, et al.. (2022). Deep convolutional neural network models for weed detection in polyhouse grown bell peppers. Artificial Intelligence in Agriculture. 6. 47–54. 104 indexed citations
10.
Singh, Dushyant, et al.. (2022). Metallurgical Requirements of Soil Engaging Component under Conservation Agriculture Practices. Journal of Agricultural Engineering (India). 59(4). 1 indexed citations
11.
Jat, Dilip, et al.. (2020). Performance of pneumatic loader for loose straw handling on a farm yard. Range Management and Agroforestry. 41(1). 116–125. 2 indexed citations
12.
Mehta, C. R., et al.. (2019). Indian agriculture counting on farm mechanization.. A M A. Agricultural mechanization in Asia, Africa and Latin America. 50(1). 84–89. 30 indexed citations
13.
Singh, Karan, et al.. (2018). Assessment of Engineering Properties of Proso Millet (Panicum miliaceum). Journal of Agricultural Engineering (India). 55(2). 42–51. 4 indexed citations
14.
Chandel, Narendra Singh, et al.. (2018). Development of manually operated single row millet planter cum fertilizer drill. Indian Journal of Dryland Agricultural Research and Development. 33(1). 1–1.
15.
Chandel, Narendra Singh, et al.. (2017). Estimation of Capital Budgeting for Entrepreneurship Development through Custom Hiring of Harvesting Machinery. Agricultural Engineering Today. 41(2). 21–28. 3 indexed citations
16.
Chandel, Narendra Singh, et al.. (2017). Trends of Tractorization in Indian Agriculture. A M A. Agricultural mechanization in Asia, Africa and Latin America. 48(2). 59. 2 indexed citations
17.
Chandel, Narendra Singh, et al.. (2015). Energy Use and Economical Analysis for Pea Production. Madras Agricultural Journal. 102(apr-jun). 196–200. 2 indexed citations
18.
Tewari, V.K., et al.. (2014). Performance Evaluation and Scope of Adoption of Rotary Power Weeder in Vegetable Crops. Agricultural Engineering Today. 38(3). 10–14. 3 indexed citations
19.
Chandel, Narendra Singh, et al.. (2014). Development of yield maps in wheat using yield monitor. Bhartiya Krishi Anusandhan Patrika. 29(3). 111–115. 1 indexed citations
20.
Chandel, Narendra Singh, et al.. (2013). Energy use and economical analysis for green gram production under different farming systems in Northern India. Agricultural Engineering Today. 37(3). 27–32. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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