Agricultural Physics Research Publications

Aravind, K. S., Vashisth, Ananta, Krishanan, P., Kundu, M., Prsad, S., Meena, M.C., Lama, A., Das, P., and Das, B. (2025). Development of multistage crop yield estimation model using machine learning and deep learning techniques, International Journal of Biometeorology , 69 (NAAS rating: 9.20)
Singh, R.N., Krishnan, P*., Bharadwaj, C., Sah, S. and Das, B., (2025). Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models., Scientific Reports, 15(1), p.4417 (NAAS rating: 9.6)
Tarun kumar, Prameela Krishnan*, Sona Kumar, Amrender Kumar & Anju Mahendru Singh (2025). Identification of the cultivars of the wheat crop from their seed images using deep learning: convolutional neural networks, Genetic Resources and Crop Evolution, 72, 1633 - 1648 (NAAS rating: 7.6)
Monika Kundu, Prameela Krishnan, Shiv Prasad, Ananta Vashisth, Surender Duhan, Kambham Raja Reddy (2025). Interventions of microbial fuel cell technology for management of agricultural residues: Challenges and future perspectives, Advances in Agronomy (Cite score 15.1), 192, 341 - 392 (NAAS rating: 5)
Aravind KS, Ananta Vashisth, P Krishnan, Monika Kundu, Shiv Prasad, MC Meena, Achal Lama, Pankaj Das, Bappa Das (2025). Development of multistage crop yield estimation model using machine learning and deep learning techniques, International Journal of Biometeorology, 69(2), 499-515 (NAAS rating: 9)
Eere Vidya Madhuri, Rabi N Sahoo, Selvaprakash Ramalingam, Subhash Chander, Sharan Paramimuthu, Rajna Salim (2025). Detecting Brown Planthopper, Nilaparvata lugens (Stal) Damage in Rice Using Hyperspectral Remote Sensing, Archives of Insect Biochemistry and Physiology, 118 (2) (NAAS rating: 7.5)
Kundu, M., Krishnan, P., Prasad, S., Vashisth, A., Duhan, S., & Reddy, K. R. (2025). Interventions of microbial fuel cell technology for management of agricultural residues: Challenges and future perspectives. , Advances in Agronomy, , 192, 341-392. (NAAS rating: 7)
Debasish Roy, Bappa Das, Pooja Singh, Priyabrata Santra, Shovik Deb, Bimal Kumar Bhattacharya, Ajit Govind, Raghuveer Jatav, Deepak Sethi, Tridiv Ghosh, Joydeep Mukherjee, Vinay Kumar Sehgal, Prakash Kumar Jha, Sheshakumar Goroshi, P. V. Vara Prasad & Debashis Chakraborty (2025). Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones, Scientific reports, 15: 10824 (NAAS rating: 9.8)
Nandita Mandal, Pragati Pramanik Maity*, T.K. Das, K.K. Bandyopadhyay, Sujan Adak, Abhradip Sarkar, Ranjan Bhattacharyya, Suman Sen, Subash N. Pillai, Bidisha Chakrabarti (2025). Long-term Conservation Agriculture Influences Ecosystem Service in Maize- Wheat Cropping System in the North-Western Indo- Gangetic Plain, Journal of Agriculture and Food Research, 101720 (NAAS rating: 10.8)
M Kundu, P Krishnan, S Prasad, G Chawla (2024). Green nanosensor for precise detection of formaldehyde in fruits and vegetables extract, Food chemistry, 443, 138520 (NAAS rating: 15.23)
M Kundu, P Krishnan, A Vashist, S Sethi, R Kumar, G Chawla, MK Dhillon (2024). Development of the sustainable green nanosensor using corn silk extract for nitrate detection in leafy vegetables, Biosensors & Bioelectronics, 116447 (NAAS rating: 18.55)
Sahoo, R. N., Kondraju, T., Rejith, R. G., Verrelst, J., Ranjan, R., Gakhar, S., Bhandari A and Chinnusamy, V. (2024). Monitoring cropland LAI using Gaussian Process Regression and Sentinel 2 surface reflectance data in Google Earth Engine. , International Journal of Remote Sensing,, 45(15), 5008 5027 (NAAS rating: 9)
Sahoo, Rabi N. R.G. Rejith, Shalini Gakhar, Jochem Verrelst, Rajeev Ranjan, Tarun Kondraju, Mahesh C. Meena, Joydeep Mukherjee, Anchal Dass, Sudhir Kumar, Mahesh Kumar, Raju Dhandapani, Viswanathan Chinnusamy (2024). Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models, Computers and Electronics in Agriculture, 221, 108942 (NAAS rating: 13.7)
Arya, Sunny, Rabi N. Sahoo,V. K. Sehgal, Kalikinkar Bandyopadhyay,R. G. Rejith,Viswanathan Chinnusamy, Sudhir Kumar, Sanjeev Kumar, K. M. Manjaiah (2024). High‑throughput chlorophyll fuorescence image‑based phenotyping for water defcit stress tolerance in wheat, Plant Physiology Reports , Volume 29, pages 278 293 (NAAS rating: 7.5)
Saha Namita Das, Priyanka Kumari, Bappa Das, R.N. Sahoo, Rajesh Kumar, Debasis Golui, Bhupinder Singh, Niveta Jain, Arti Bhatia, Anita Chaudhary, Bidisha Chakrabarti, Arpan Bhowmik, Partha Saha, Sadikul Islam (2024). Vis-NIR spectroscopy based rapid and non-destructive method to quantitate microplastics: An emerging contaminant in farm soil, Science of The Total Environment , 927, 172088 (NAAS rating: 14.2)
Pragya Singh, Vinay Kumar Sehgal, Rajkumar Dhakar, Alka Rani, Deb Kumar Das, Joydeep Mukherjee, Natoo Raghunathbhai Patel, Prakash Kumar Jha, Ram Narayan Singh (2024). Monitoring Surface Energy Flux Dynamics of Irrigated Maize Using a Large Aperture Scintillometer in a Semi-Arid Region, Clean - Soil, Air, Water, 0 (NAAS rating: 7.5)
A. Rani, V.K. Sehgal, R. Dhakar, Abhilash, B. Das, Pragya (2024). Remote sensing based Multivariate Hierarchical Agricultural Drought Index (MHADI) for India., Theoretical and Applied Climatology, 155 : 9885 - 9909 (NAAS rating: 8.8)
P. Singh, V.K. Sehgal, R. Dhakar, C.M.U. Neale, I.Z. Goncalves, A. Rani, P.K. Jha, D.K. Das, J. Mukherjee, M. Khanna, S.K. Dubey (2024). Estimation of ET and Crop Water Productivity in a Semi-Arid Region Using a Large Aperture Scintillometer and Remote Sensing-Based SETMI Model, Water, 16 (3): 422 (NAAS rating: 9.0)
Abhradip Sarkar, Pragati Pramanik Maity*, Mrinmoy Ray and Aditi Kundu (2024). Inclusion of fractal dimension in machine learning models improves the prediction accuracy of hydraulic conductivity. , Stochastic Environmental Research and Risk Assessment, 38(4043–4067) (NAAS rating: 9.6)
Abhradip Sarkar, Pragati Pramanik Maity*, Mrinmoy Ray and Aditi Kundu (2024). Inclusion of fractal dimension in machine learning models improves the prediction accuracy of hydraulic conductivity. , Stochastic Environmental Research and Risk Assessment, 38(4043–4067) (NAAS rating: 9.6)
M Kundu, P Krishnan, S Prasad, A Vashisth, S Duhan, KR Reddy (2023). Biosensing technology interventions for the detection of nitrate and nitrite contamination in environment and foods, Advances in Agronomy, 183,193 (NAAS rating: 15.27)
N. Subash, Debashis Dutta, P.C. Ghasal, N. Ravisankar, V.P. Chaudhary, Sunil Kumar, L.R. Meena, Omkar Singh, Brahmdutt, V.P. Mandal, Sweta Singh and Kumari Sunita. (2023). A Composite Index to Assess the Climate‑Carbon‑Yield‑Sustainability of Cereal Based Cropping System , International Journal of Plant Production , 17: 729-755 (NAAS rating: 8.10)
N. Subash , Debashis Dutta , P.C. Ghasal , P. Punia , Vinay Prasad Mandal , Brahmadut , Ved Prakash Chaudhary. (2023). Relevance of climatological information on spatial and temporal variability of Indian Summer monsoon rainfall (ISMR) in recent El Ni˜no years and its impact on four important kharif crops over India, Climate Services , 30:100370 (NAAS rating: 10.0)
Sahoo, R.N., Gakhar, S., Rejith, R.G., Verrelst, J., Ranjan, R. Kondraju, T., Meena, M.C., Mukherjee, J., Dass, A., Kumar, S., et al. (2023). Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression., Remote Sensing, 15, 5496 (NAAS rating: 10.2)
Sahoo, Rabi N.; Rejith, R. G.; Gakhar, Shalini; Ranjan, Rajeev; Meena, Mahesh C.; Dey, Abir; Mukherjee, Joydeep; Dhakar, Rajkumar; Meena, Abhishek; Daas, Anchal; Babu, Subhash; Upadhyay, Pravin K.; Sekhawat, Kapila; Kumar, Sudhir; Kumar, Mahesh; Chinnusamy, Viswanathan; Khanna, Manoj (2023). Drone remote sensing of wheat N using hyperspectral sensor and machine learning, Precision Agriculture, 25 (2): 704-728 (NAAS rating: 11.4)
Rabi N. Sahoo, Shalini Gakhar, RG Rejith, Rajeev Ranjan, Mahesh C Meena, Abir Dey, Joydeep Mukherjee, Rajkumar Dhakar, Sunny Arya, Anchal Daas, Subhash Babu, Pravin K Upadhyay, Kapila Sekhawat, Mahesh Kumar, Viswanathan Chinnusamy, Manoj Khanna (2023). Unmanned Aerial Vehicle (UAV)-Based Imaging Spectroscopy for Predicting Wheat Leaf Nitrogen, Photogrammetric Engineering & Remote Sensing, 89 (2):107-116 (NAAS rating: 0)
Mandal Nandita, Sujan Adak, Deb K Das, Rabi N Sahoo, Joydeep Mukherjee, Andy Kumar, Viswanathan Chinnusamy, Bappa Das, Arkadeb Mukhopadhyay, Hosahatti Rajashekara, Shalini Gakhar (2023). Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models, Frontiers in Plant Science, 14 (NAAS rating: 10.1)
R. Dhakar, S. Nagar, V.K. Sehgal, Jha, P.K., Singh, M.P., Chakraborty, D., Mukherjee, J. and Prasad, P.V.V. (2023). Balancing water and radiation productivity suggest a clue for improving yields in wheat under combined water deficit and terminal heat stress, Frontiers in Plant Science, 14 (NAAS rating: 11.6)
VIMAL KUMAR, JOYDEEP MUKHARJEE*, VINAY KUMAR SEHGAL AND D.K. DAS (2023). Variation of Light Interception and Radiation Use Efficiency in Maize (Zea maize L) at Different Crop Growth Stages, Journal of Agricultural Physics, 22(2) 275-283 (NAAS rating: 5.12)
R.N. SINGH , JOYDEEP MUKHERJEE, SONAM , AMRESH CHAUDHARY, A.K. SINGH,ABIRA BANERJEE and K. SAMMI REDDY (2023). Exploring the landscape of contemporary crop micrometeorology: A bibliometric investigation, Journal of Agrometeorology, 25(3) 333-342 (NAAS rating: 6.0)
Abhradip Sarkar, Pragati Pramanik Maity*, Mrinmoy Ray, Debashis Chakraborty, Bappa Das, Arti Bhatia (2023). Inclusion of fractal dimension in four machine learning algorithms improves the prediction accuracy of mean weight diameter of soil., Ecological Informatics, 74, 101959 (NAAS rating: 13.3)
Ghosh T, Maity Pramanik Pragati*, Rabbi SMF, Das TK and Bhattacharyya R (2023). Application of Xray computed tomography in soil and plant-a review. , Frontiers in Environmental Science, 11:1216630 (NAAS rating: 11.41)
Ranjan Bhattacharyya, A Bhatia, B Chakrabarti, Namita Das Saha, P Pramanik, Avijit Ghosh, S Das, Geeta Singh, SD Singh (2023). Elevated CO2 alters aggregate carbon and microbial community but does not affect total soil organic C in the semi-arid tropics. , Applied Soil Ecology, 187 (104843) (NAAS rating: 11.51)
Prajapati, V.K., Khanna,M., Singh, M., Kaur,R., Sahoo,R.N., and Singh, D.K. (2022). PCA based composite drought index for drought assessment in Marathwada region of Maharashtra state, India, Theoretical and Applied Climatology, , Theoretical and Applied Climatology, 149, 207 220, (NAAS rating: 0)
Tridiv Ghosh, Pragati Pramanik Maity*, T. K. Das, P. Krishnan, Debashis Chakraborty, Arti Bhatia, Mrinmoy Ray, Aditi Kundu and Ranjan Bhattacharyya (2022). Characterization of Soil Pores Through X-Ray Computed Microtomography and Carbon Mineralization Under Contrasting Tillage and Land Configurations in the Indo-Gangetic Plains of India. , Frontiers in Environmental Science, 10 (898249) (NAAS rating: 11.41)
Samaresh Sahoo, Prabir Mukhopadhyay, Jake Mowrer, Pragati Pramanik Maity*, Aniruddha Maity, AK Sinha, Prodipto Sow, S Rakesh (2022). Tillage and N-source affect soil fertility, enzymatic activity, and crop yield in a maize–rice rotation system in the Indian Terai zone. Frontiers in Environmental Science. , Frontiers in Environmental Science, 10 (9839730 (NAAS rating: 11.41)
Sourav Das, Ranjan Bhattacharyya, Namita Das Saha, Avijit Ghosh, S.A. Khan, N. Ahmed, Abir Dey, A. Bhatia, Pragati Pramanik Maity, Soora Naresh Kumar, B.K. Agarwal, D.K. Shahi (2022). Soil aggregate-associated carbon and organic carbon pools as affected by conversion of forest lands to agriculture in an acid soil of India. , , Soil and Tillage Research, 223 (105443) (NAAS rating: 11.37)
Shen Yuan, Bruce A. Linquist, Lloyd T. wilson, Kenneth G. Cassman, Alexander M. Stuart, Valerien Pede, Berta Miro, Kazuki Saito , Nurwulan Agustiani, Vina Eka Aristya, Leonardus Y. Krisnadi, Alencar Junior Zanon, Alexandre Bryan Heinemann, Gonzalo Carracelas, Nataraja Subash, Pothula S. Brahmanand, Tao Li, Shaobing Peng & Patricio Grassini. (2021). Sustainable intensification for a larger global rice Bowl. , Nature Communications, 127163 (NAAS rating: 20)
Misra,Tanuj, Arora, Alka, Marwaha, Sudeep, Jha, Ranjeet Ranjan, Ray, Mrinmoy , Jain, Rajni, Rao, AR, Varghese, Eldho, Kumar, Shailendra , Kumar, Sudhir,. Nigam, Aditya , Sahoo, Rabi Narayan, Chinnusamy, Viswanathan (2021). Web-SpikeSegNet: deep learning framework for recognition and counting of spikes from visual images of wheat plants , IEEE Access, 9: 76235-76247 (NAAS rating: 9.4)
Prajapati, V.K., Khanna,M., Singh, M., Kaur,R., Sahoo,R.N., and Singh, D.K. (2021). Evaluation of time scale of meteorological, hydrological and agricultural drought indices, Natural Hazards, 109(1):89-109 (NAAS rating: 9.3)
Das, Bappa, Rabi N Sahoo, Sourabh Pargal, Gopal Krishna, Rakesh Verma, Chinnusamy Viswanathan, Vinay K Sehgal, Vinod K Gupta (2021). Evaluation of different water absorption bands, indices and multivariate models for water-deficit stress monitoring in rice using visible-near infrared spectroscopy, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 247 (NAAS rating: 0)
Krishna Gopal, Sahoo, R.N., Prafull Singh, Himesh Patra, Vaishangi Bajpai, Bappa Das, Sudhir Kumar, Raju Dhandapani, Chandrapal Vishwakarma, Madan Pal & V. Chinnusamy (2021). Application of thermal imaging and hyperspectral remote sensing for crop water deficit stress monitoring, Geocarto International, 36 (5), 481-498 (NAAS rating: 9.3)
Singh, R., Mukherjee, J., Sehgal, V.K. et al. (2021). Interactive effect of elevated tropospheric ozone and carbon dioxide on radiation utilisation, growth and yield of chickpea (Cicer arietinum L.), International Journal of Biometeorol, 65(1139-1952) (NAAS rating: 9.5)
Das, Bappa, Rabi N. Sahoo, Pargal, Sourabh Krishna, Gopal, Verma, Rakesh, Chinnusamy, Viswanathan, Sehgal, Vinay K. and Gupta, Vinod K. (2020). Comparative analysis of index and chemometric techniques-based assessment of leaf area index (LAI) in wheat through field spectroradiometer, Landsat-8, Sentinel-2 and Hyperion bands, , Geocarto International, 35(13): 1415-1432 (NAAS rating: 9.3)
N. Subash, M. Shamim, V.K. Singh, B. Gangwar, B. Singh, D.S.Gaydon, C.H. Roth, P.L. Poulton and A.K. Sikka. (2015). Applicability of APSIM to capture the effectiveness of irrigation management decisions in rice-based cropping sequence in the upper-Gangetic Plains of India, Paddy and Water Environment , 13:325-335 (NAAS rating: 7.90)
N. Subash, B. Gangwar, Rajbir Singh and A.K. Sikka (2015). Identification of climate resilient integrated nutrient management practices for rice-rice cropping system – A empirical approach to uphold food security, International Journal of Biometeorology , 59(1): 65-78 (NAAS rating: 9.0)
N. Subash, B. Gangwar, S. Singh, A.K. Koshal and V. Kumar. (2014). Long-term yield variability and detection of site-specific climate-smart nutrient management practices for rice-wheat systems: an empirical approach, Journal of Agricultural Science, Cambridge , 152:575-601 (NAAS rating: 7.7)
N. Subash and H.S. Ram Mohan. (2012). Evaluation of the impact of climatic trends and variability in rice-wheat system productivity using cropping system model DSSAT over the Indo-Gangetic Plains of India, Agricultural and Forest Meteorology , 164: 71-81 (NAAS rating: 11.60)
N. Subash, H.S. Ram Mohan and K. Banukumar (2011). Comparing water-vegetative indices for rice (Oryzasativa L.) – wheat(Triticumaestivum L.) drought assessment, Computers and Electronics in Agriculture. , 77:175-187 (NAAS rating: 13.70)
N. Subash, S.S. Singh and Neha Priya (2011). Extreme rainfall indices and its impact on rice productivity – A case study over sub-humid climatic environment, Agricultural Water Management, 98: 1373-1387 (NAAS rating: 11.90)
N. Subash, S.S. Singh and Neha Priya (2011). Variability of rainfall and effective onset and length of the monsoon season over a sub-humid climatic environment, Atmospheric Research, 99(3-4):479-487 (NAAS rating: 10.50)
Vashisth, Ananta*, and Goyal, A. (2023). Prediction of mustard yield using different machine learning techniques: a case study of Rajasthan, India. International Journal of Biometeorology, https://doi.org/10.1007/s00484-023-02434-2:67, 539-551(NAAS Rating: 9.20).
Roy, Debasish, Vashisth , Ananta*, Krishnan, P, Mukherjee, J, Meena, M. C., Biswakarma, N, Rathore, Pooja, Bag Koushik and Sweta Kumari (2024). Delayed Sowing and its Ramifications: Biophysical, Yield, and Quality Analysis of Wheat Cultivars in the north-west Indo-Gangetic Plains. Journal of The Science of Food and Agriculture DOI: 10.1002/jsfa.13512:1-13 (NAAS Rating: 10.10).
Aravind, K. S., Vashisth, Ananta*, Das, B., Krishanan, P. (2023) Multistage wheat yield estimation using multiple linear, neural network and penalised regression models. Mausam, 74 (3) :833-846 (NAAS Rating: 6.60).
Vashisth, Ananta*, Roy, Debasish, Goyal, Avinash and Krishanan, P (2022). Influence of meteorological parameters on wheat yield under different sowing conditions, Mausam 73(1):161-172 (NAAS Rating: 6.60).
Vashisth, Ananta*, Meena, Neetu and Krishnan, P. (2021). Magnetic Field Affects Growth and Yield Vashisth, Ananta, Krishnan, P.and Meena, Neetu (2021). Magnetic Field Affects Growth and Yield of Sunflower Under Different Moisture Stress Conditions Bioelectromagnetics 42 (6): 473-483 (NAAS Rating: 7.90).
Vashisth, Ananta* and Joshi D. K. (2017). Growth characteristics of maize seeds exposed to magnetic field, Bioelectromagnetics 38 (2): 151-157 (NAAS Rating: 7.90).
Kumar, Jitendra, Vashisth, Ananta*, Sehagal, V. K. and Gupta, V. K. (2013). Assessment of aphid infestation in mustard by hyperspectral remote sensing. Journal of the Indian Society of Remote Sensing. 41(1):83-90 (NAAS Rating: 8.50).
Goyal, Avinash, Vashisth, Ananta*, Sehgal, V.K., Das, D. K, Mukherjee, Joydeep, Prasad, Shiv and Manjaiah, K.M. (2021). Evaluating InfoCrop model at experimental farm and farmer’s fields for multistage mustard crop yield estimation. Indian Journal of Agricultural Science 91 (12): 1801–1807(NAAS Rating: 6.40).
Vashisth, Ananta* and Nagarajan, S. (2010). Characterization of water distribution and activities of enzymes during germination in magnetically-exposed maize (Zea mays L) seeds. Indian Journal of Biochemistry & Biophysics 47:311-318. (NAAS Rating: 7.40).
Vashisth, Ananta* and Nagarajan, S. (2010). Effect on germination and early growth characteristics in sunflower (Helianthus annuus L.) seeds exposed to static magnetic field. Journal of Plant Physiology 167:149-156 (NAAS Rating: 10.30).
Chakraborty, D., Sehgal, V. K.*, Dhakar, R., Ray, M., Das, D. K. (2020). Increase in spatial spread of extreme warm day temperature events: regional to national perspective for India (1951-2014). Current Science 118(12): 1930 - 1938 [NAAS: 6.76]
Chakraborty, D., Sehgal, V. K.*, Dhakar, R., Ray, M., Das, D. K. (2019). Spatio-temporal trend in heat waves over India and its impact assessment on wheat crop. Theoretical and Applied Climatology, 138(3-4), 1925-1937. [NAAS: 8.32]
Dhakar, R., Sehgal, V. K.*, Chakraborty, D., Sahoo, R. N., Mukherjee, J. (2019). Field scale wheat LAI retrieval from multispectral Sentinel 2A-MSI and LandSat 8-OLI imagery: effect of atmospheric correction, image resolutions and inversion techniques. Geocarto International, 1-21. [NAAS: 7.76]
Chakraborty, D., Sehgal, V. K.*, Dhakar, R., Varghese, E., Das, D. K., Ray, M. (2018). Changes in daily maximum temperature extremes across India over 1951-2014 and their relation with cereal crop productivity. Stochastic environmental research and risk assessment, 32(11), 3067-3081. [NAAS: 8.67]
Sehgal, V. K.*, Dhakar, R. (2016). Geospatial approach for assessment of biophysical vulnerability to agricultural drought and its intra-seasonal variations. Environmental monitoring and assessment, 188(3), 197. [NAAS: 7.80]
Sehgal, V.K.*, Dhakar, R. (2016). Inversion of radiative transfer model for retrieval of wheat biophysical parameters from broadband reflectance measurements. Information Processing in Agriculture 3(2): 107 - 118
Saha, S., Sehgal, V.K.*, Chakraborty, D., Pal, M. (2015). Atmospheric carbon dioxide enrichment induced modifications in canopy radiation utilization, growth and yield of chickpea [Cicer arietinum L.)]. Agricultural and Forest Meteorology 202, 102 - 111. [NAAS: 10.04]
Dhakar, R., Sehgal, V. K., & Pradhan, S. (2013). Study on inter-seasonal and intra-seasonal relationships of meteorological and agricultural drought indices in the Rajasthan State of India. Journal of arid environments, 97, 108-119. [NAAS: 7.99]
Saha, S., Sehgal, V.K., Nagarajan, S., Pal, M. (2012). Impact of elevated atmospheric CO2 on radiation utilization and related plant biophysical properties in pigeon pea (Cajanus cajan L.). Agricultural and Forest Meteorology 158, 63- 70. [NAAS: 10.04]
Sehgal, V.K., Jain, S., Aggarwal, P.K., Jha, S. (2011). Deriving Crop Phenology Metrics and Their Trends Using Times Series NOAA-AVHRR NDVI Data. Journal of the Indian Society of Remote Sensing 39 (3), 373-381. [NAAS: 6.89]
Pramanik P, Aggarwal P, and Dey P. (2013). Model for calculation of penetration resistance from easily measurable soil physical properties. Indian Journal of Agricultural Sciences, 83(3): 294-299.
Pragati Pramanik, Bidisha Chakrabarti; Arti Bhatia; Shiv Dhar Singh; Aniruddha Maity; Pramila Aggarwal; Prameela Krishnan. Effect of elevated temperature on soil hydrothermal regimes and growth of wheat crop. Environmental Monitoring and Assessment (2018) 190:217.
P Pramanik, Bidisha Chakrabarti, Arti Bhatia, SD Singh, N Mridha, P Krishnan (2018). Effect of elevated carbon dioxide on soil hydrothermal regimes and growth of maize crop (Zea mays L.) in semi-arid tropics of Indo-Gangetic Plains. Environmental Monitoring and Assessment, 190 (11):661.
P Maity and P Aggarwal (2012).Variation of thermal properties of sandy loam soil under different management practices. Indian Journal of Agricultural Sciences. 82 (2): 181�5.
Sourav Das, Ranjan Bhattacharyya, Namita Das Saha, Avijit Ghosh, S.A. Khan, N. Ahmed, Abir Dey, A. Bhatia, Pragati Pramanik Maity, Soora Naresh Kumar, B.K. Agarwal, D.K. Shahi (2022). Soil aggregate-associated carbon and organic carbon pools as affected by conversion of forest lands to agriculture in an acid soil of India. , , Soil and Tillage Research, 223 (105443) (NAAS rating: 11.37)
P. Pramanik, K. K. Bandyopadhyay, DebaratiBhaduri, Ranjan Bhattacharyya and P. Aggarwal (2015).Effect of Mulch on Soil Thermal Regimes - A Review. International Journal of Agriculture, Environment and Biotechnology Citation: IJAEB: 8(3): 645-658 September 2015 DOI Number: 10.5958/2230-732X.2015.00072.8.
Aniruddha Maity, Shyamal Kumar Chakarbarty, Pragati Pramanik, Ramwant Gupta, Sanjay Singh Parmar, DK Sharma (2019). Response of stigma receptivity in CMS and male fertile line of Indian mustard (B. juncea) under variable thermal conditions. International Journal of Biometeorology, 63 (2): 143-152.
Priya Bhattacharya, Pragati Pramanik Maity, Mrinmoy Ray and Nilimesh Mridha (2020). Prediction of Mean Weight Diameter of Soil Using machine Learning Approaches. Agronomy Journal, DOI: https://doi.org/10.1002/agj2.20469
Priya Bhattacharya, Pragati Pramanik Maity*, Jake Mowrer, Aniruddha Maity, Mrinmoy Ray, Shrila Das, Bidisha Chakrabarti, Tridiv Ghosh and P. Krishnan (2020). Assessment of Soil Health Parameters and Application of the Sustainability Index to Fields Under Conservation Agriculture for 3, 6, and 9 years in India. Heliyon (Accepted)
Vikas Rai, P Pramanik, TK Das, P Aggarwal, Ranjan Bhattacharyya, P Krishnan, VK Sehgal (2019). Modelling soil hydrothermal regimes in pigeon pea under conservation agriculture using Hydrus-2D. Soil and Tillage research,190: 92-108.
Yadav, A., Bhatia, A., Bana, R.S. et al. Green zinc oxide nanoparticles improve zinc bioavailability and mitigate high temperature stress in rice. Sci Rep 16, 6573 (2026). https://doi.org/10.1038/s41598-026-36046-8. (NAAS Rating: 9.90)
Paranimuthu, S., Pandey, R., Yadav, A., Gowda, V.T., Krishnan, P., Sharma, D.K., Shankar, V., Eere, V.M., Jagadam, S.R., Ranjan, R. and Bana, R.S., 2026. Size dependent efficacy of zinc oxide nanoparticles in zinc biofortification of basmati rice. Scientific Reports.https://doi.org/10.1038/s41598-025-30827-3. (NAAS Rating: 9.90)
Yadav, A., Singh, B. and Singh, S.D., 2019. Impact of gamma irradiation on growth, yield and physiological attributes of maize. Indian Journal of Experimental Biology, 57, 116-122. (NAAS Rating 6.93)
Yadav, A., Prasad, V., Kathe, A.A., Raj, S., Yadav, D., Sundaramoorthy, C. and Vigneshwaran, N., 2006. Functional finishing in cotton fabrics using zinc oxide nanoparticles. Bulletin of materials Science, 29(6), 201-208. (NAAS Rating: 7.26)
Yadav, A., Hussain, G.F.S. and Nachane, R.P., 2012. Comparative studies on the physical properties of fibres of Bt and non-Bt cottons at various stages of growth. The Indian Journal of Agricultural Sciences, 82(11). (NAAS Rating: 6.25)
Yadav,A., Bhatia, A., Yadav, S. and Kumar V Singh, B., 2019. The effects of elevated CO2 and elevated O3 exposure on plant growth, yield and quality of grains of two wheat cultivars grown in north India. Heliyon, e202317. (NAAS Rating: 9.65)
Yadav, A., Singh, B., Sharma, D.K. and Ahuja, S., 2015. Effects of gamma irradiation on germination and physiological parameters of maize (Zea mays) genotypes. Indian J. Agric. Sci, 85, 148-1152. (NAAS Rating: 6.28)
Pingale, B.N., Singh, S.D. and Yadav, A*., 2017. Potential impacts of increasing atmospheric carbon dioxide on yield and plant growth of rice (Oryza sativa) and maize (Zea mays) crops. Indian Journal of Agricultural Sciences, 87(8), 1041-1044. (NAAS Rating: 6.25)
Achchhelal Yadav, Arti Bhatia, Sudesh Yadav, Archana Singh, Ritu Tomer, Ramesh Harit,Vinod Kumar, Bhupinder Singh. 2020.Growth, Yield and Quality of Maize Under Ozone and Carbon Dioxide Interaction in North West India. Aerosol and Air Quality Research. (NASS Rating: 8.5)
Yadav, A., Babu, S., Krishnan, P., Kaur, B., Bana, R.S., Chakraborty, D., Kumar, V., Joshi, B. and Lal, S.K., 2024. Zinc oxide and ferric oxide nanoparticles combination increase plant growth, yield, and quality of soybean under semiarid region. Chemosphere, 352, 141432. NAAS Rating:14.1
Mukherjee J and C V S Sastri (2003) PAR distribution and Light Use Efficiency (LUE) in Tomato (Lycopersicon esculentum Mill.) Crop Canopy. Journal of Agrometeorlogy 5(2): 62-67 .
Mukherjee J and C V S Sastri (2004) Fruit yield predicting model of tomato using spectral and Hyperspectral indices. Journal of the Indian Society of Remote Sensing 32(3): 301-306.
Mukherjee Joydeep, Lakhwinder Singh, Gurjot Singh, Santanu Kumar Bal, Harpreet Singh and Probhjyot Kaur (2010) Comparative evaluation of WOFOST and ORYZA 2000 crop models in simulating growth and development of two different rice (Oryza sativa L.) cultivars in North Western semi arid climate of India. Journal of Agrometeorology. 13 (2): 86-91.
Joydeep Mukherjee, G. Singh, S.K. Bal (2014). Radiation use efficiency and instantaneous photosynthesis at different growth stages of wheat (Triticum aestivum L.) in semi-arid ecosystem of Central Punjab, India. Journal of Agrometeorology. 16(1): 69-77.
Mukherjee Joydeep, S.K.Bal, Gurjot Singh, Harpreet Singh and Prabhjyot Kaur Sidhu. (2012) Surface energy fluxes in wheat (Triticum aestivum L.) under irrigated ecosystem. Journal of Agrometeorology. 14(1): 16-20.
Yadav, Brijesh, Mukherjee, Joydeep*, Sehgal, V.K., Das, D.K. and Krishnan, P. (2017). Effect of dimming of global radiation on morphology and yield of wheat crop in Delhi. Journal of Agrometeorology. 19(4): 323-327.
Singh, Ram N., Mukherjee*, Joydeep, Sehgal, V.K., Bhatia, Arti, Krishnan, P., das, Deb Kumar, Kumar, Vinod, Harit, Ramesh. (2017) Effect of elevated ozone, carbon dioxide and their interaction on growth, biomass and water use efficiency of chickpea (Cicer arietinum L.). Journal of Agrometeorology. 19(4): 301-305.
Singh, R., Mukherjee, J., Sehgal, V.K. et al. (2021)nteractive effect of elevated tropospheric ozone and carbon dioxide on radiation utilisation, growth and yield of chickpea (Cicer arietinum L.). Int J Biometeorol 65, 1939–1952 (2021). https://doi.org/10.1007/s00484-021-02150-9
Monika Kundu, Shiv Prasad, Prameela Krishnan, Gajjala Sumana. (2019). A Novel Electrochemical Biosensor Based on Hematite (α-Fe2O3) Flowerlike Nanostructures for Sensitive Determination of Formaldehyde Adulteration in Fruit Juices. Food and Bioprocess Technology. 12(10), 1659-1671
Monika Kundu, Hema Bhardwaj, Manoj Kumar Pandey, Prameela Krishnan, R. K. Kotnala, Gajjala Sumana (2019). Development of electrochemical biosensor based on CNT�Fe3O4 nanocomposite to determine formaldehyde adulteration in orange juice. J Food Sci Technol. 56(4), 1829-1840, https://doi.org/10.1007/s13197-019-03635-7
Monika Kundu, Ravinder K. Kotnala, Prameela Krishnan, Sumana Gajjala (2019) Recent Developments in Biosensors to Combat Agricultural Challenges and their Future Prospects. Trends in Food Science & Technology 88, 157-178. https://doi.org/10.1016/j.tifs.2019.03.024
Dhakar, R., Sehgal, V. K., & Pradhan, S. (2013). Study on inter-seasonal and intra-seasonal relationships of meteorological and agricultural drought indices in the Rajasthan State of India. Journal of arid environments, 97, 108-119.
Dhakar, R., Chandran, M. S., Nagar, S., & Kumari, V. V. (2017). Probabilistic assessment of phenophase-wise agricultural drought risk under different sowing windows: a case study with rainfed soybean. Environmental monitoring and assessment, 189(12), 645.
Dhakar, R., Sehgal, V. K., Chakraborty, D., Sahoo, R. N., & Mukherjee, J. (2019). Field scale wheat LAI retrieval from multispectral Sentinel 2A-MSI and LandSat 8-OLI imagery: effect of atmospheric correction, image resolutions and inversion techniques. Geocarto International, 1-21.
Dhara, S., Ranjan, R., Sahoo, R.N. et al. Drone thermal imaging for assessing water status response of variable nitrogen and water application in wheat. Plant Physiol. Rep. (2025). https://doi.org/10.1007/s40502-025-00853-4
Ranjan, R., Sharma, N. K., Kumar, A., Pramanik, M., Mehta, H., Ojasvi, P. R., & Yadav, R. S. (2021). Evaluation of maize-based intercropping on runoff, soil loss, and yield in foothills of the Indian sub-Himalayas. Experimental Agriculture, 1, 16.
Pramanik, M., Ranjan, R*., Garg, N.K., Tripathi, S.K. and Singh, R. (2020) Development of non-stress baseline of crop water stress index for wheat in humid sub-tropical climate in India. Journal Environmental Biology. 41, 234-239.
Sharma, N. K., Ranjan, R.*, Pramanik, M. and Alam, N. M. (2016) Dynamics of soil physical and chemical properties under wheat (Triticum aestivum L.) - poplar (Populus deltoides M.) based agroforestry system. Indian Journal of Agroforestry. 18 (2), 41-46.
Ranjan, R., Sahoo, R.N., Chopra, U.K., Pramanik, M., Singh, A.K. and Pradhan, S. (2015) Assessment of water status in wheat (Triticum aestivum L.) using ground based hyperspectral reflectance, Proc. Natl. Acad. Sci., India, Sect. B Biol. Sci. DOI 10.1007/s40011-015-0618-6
Ranjan, R., Chopra, U.K., Sahoo, R.N., Pramanik, M., Singh, A.K., Pradhan, S. and Alam, N.M. (2015) Resource conservation in wheat (Triticum aestivum L.) under different water and nitrogen stress levels, Indian Journal of Soil Conservation. 43 (2), 159-165.
Ranjan, R., Chopra, U.K., Sahoo, R.N., Singh, A.K. and Pradhan, S. (2012) Assessment of plant nitrogen stress in wheat (Triticum aestivum L.) through hyperspectral indices. International Journal of Remote Sensing. 33 (20), 6342-6360