Home
CSRE IITB Main page

Journal Publications, Patents, Books and Book Chapters

Journal Publications

  • Nandan, R., Kumar, P., Woo, D. K., & Adinarayana, J. (Submitted). Nitrogen allocation modelling for ecohydrological application: Role of photosynthetic nitrogen in C4 crops under climate change. Field Crops Research (in advanced review)
  • Aravind Bharathi Valluvan, Rahul Raj, Rohit Pingale and Adinarayana Jagarlapudi (Communicated and in advanced review). Canopy height estimation using drone-based RGB images. Smart Agricultural Technology (Elsevier)
  • Mukesh Kumar Vishal *, Rohit Saluja, Devarshi Aggrawal, Biplab Banerjee, Dhandapani Raju, Sudhir Kumar, Viswanathan Chinnusamy, Rabi Narayan Sahoo, Jagarlapudi Adinarayana (2022). Leaf Count Aided Novel Framework for Rice (Oryza-Sativa L.) Genotypes Discrimination in Phenomics: Leveraging Computer Vision and Deep Learning Applications. Plants (MDPI) (Manuscript ID: plants-1818828)(In Press))
  • Suradhaniwar,S.;Kar,S.; Durbha, S.S.; Jagarlapudi Adinarayana*.(2021). Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies. Sensors (MDPI) 2021, 21(7), 2430 (under section Remote Sensors) https://doi.org/10.3390/s21072430
  • V Vinod, R Raj, R Pingale, A Jagarlapudi (2021). Estimating Leaf Water Content using Remotely Sensed Hyperspectral Data. https://arxiv.org/abs/2109.02250
  • R Raj, JP Walker, R Pingale, BN Banoth, A Jagarlapudi (2021). Leaf nitrogen content estimation using top-of-canopy airborne hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, 104, 102584 https://doi.org/10.1016/j.jag.2021.102584
  • Rohit Nandan, Dong K. Woo, Praveen Kumar and J. Adinarayana (2021). Impact of irrigation scheduling methods on corn yield under climate change. Agricultural Water Management, 255, 106990. https://doi.org/10.1016/j.agwat.2021.106990
  • Raj, R., Walker, J.P., Pingale, R., Nandan, R., Naik, B. and Jagarlapudi, A., 2021. Leaf area index estimation using top-of-canopy airborne RGB images. International Journal of Applied Earth Observation and Geoinformation, 96, p.102282. https://doi.org/10.1016/j.jag.2020.102282
  • Raj R., Walker J., Vinod V., Pingale R., Naik B., Jagarlapudi A., 2021. Leaf water content estimation using top-of-canopy airborne hyperspectral images. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2021.102393
  • Suradhaniwar,S.;Kar,S.; Durbha, S.S.; Jagarlapudi, A. (2021) Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies. Sensors, 21(7), 2430. https://doi.org/10.3390/s21072430
  • Yadav, V. K., Jahageerdar, S. and Adinarayana, J. (2021). Forecasting quarterly landings of total fish and major pelagic fish and modelling the impacts of climate change on Bombay duck along India’s north-western coast. Indian Journal of Geo-Marine Science, 50(7) 557-565. http://nopr.niscair.res.in/bitstream/123456789/57950/1/IJMS%2050%287%29%20%28557-565%29.pdf
  • R. S. Lad, R. M. Gade, Srinivasa Rao Peddinti and Adinarayana J.(2021). Seasonal impact on population dynamics of Phytophthora spp. and disease progression in Mandarin. Indian Phytopathology, 74, 669–679, https://doi.org/10.1007/s42360-021-00332-4
  • Kar, S., Purbey, V., Suradhaniwar, S., Korbu, L.B., Kholová, Durbha, S.S., Adinarayana, J. and Vadez, V. (2020). An Ensemble Machine Learning Approach for Determination of the Optimum Sampling Time for Evapotranspiration Assessment from High-Throughput Phenotyping Data. Computers and Electronics in Agriculture, https://doi.org/10.1016/j.compag.2021.105992
  • Kar, S., Garin, V., Kholová, J., Vadez, V., Durbha, S.S., Tanaka, R., Iwata, H., Urban, M.O. and Adinarayana, J. (2020). SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data. Frontiers in Plant Science, 11, p.1746. https://www.frontiersin.org/articles/10.3389/fpls.2020.552509/full
  • Kar, S., Tanaka, R., Korbu, L.B., Kholová, J., Iwata, H., Durbha, S.S., Adinarayana,J. and Vadez, V. (2020). Automated discretization of ‘transpiration restriction to increasing VPD’ features from outdoors high-throughput phenotyping data. Plant methods, 16(1), pp.1-20. https://plantmethods.biomedcentral.com/articles/10.1186/s13007-020-00680-8
  • Srinivasa Rao Peddinti; BVN P Kambhammettu*; Ranjith Lad; Jiří Šimůnek; R. M. Gade; Adinarayana J. (2020). A macroscopic soil-water transport model to simulate root water uptake in the presence of water and disease stress. Journal of Hydrology (Elsevier), 587, 1-12. https://doi.org/10.1016/j.jhydrol.2020.124940
  • B. Balaji Naik, H. R. Naveen, G. Sreenivas, K. Karun Choudary, D. Devkumar and J. Adinarayana (2020). Identification of Water and Nitrogen Stress Indicative Spectral Bands Using Hyperspectral Remote Sensing in Maize During Post-Monsoon Season. Journal of the Indian Society of Remote Sensing, 48(12):1787–1795. https://doi.org/10.1007/s12524-020-01200-w
  • Naveen, H. R., Naik, B. B., Sreenivas, G., Kumar, A., Adinarayana, J., Kumar, K. A., & Shankaraiah, M. (2020). Hyperspectral Remote Sensing for Determining Water and Nitrogen Stress in Maize during Rabi Season. Current Journal of Applied Science and Technology, 38(6), 1-9. https://doi.org/10.9734/cjast/2019/v38i630456
  • Yadav, V.K.*, Jahageerdar, S. and Adinarayana, J. (2020). Use of different modeling approach for sensitivity analysis in predicting the Catch per Unit Effort (CPUE) of fish, Indian Journal of Geo Marine Sciences (IJMS), 49(11), 1729-1741. http://nopr.niscair.res.in/bitstream/123456789/55698/1/IJMS%2049%2811%29%201729-1741.pdf
  • Yadav, V.K.*, Jahageerdar, S. & Adinarayana, J. (2020). Modeling Framework to Study the Influence of Environmental Variables for Forecasting the Quarterly Landing of Total Fish Catch and Catch of Small Major Pelagic Fish of North-West Maharashtra Coast of India. Natl. Acad. Sci. Lett., 43(6), 515-518. https://link.springer.com/content/pdf/10.1007/s40009-020-00922-2.pdf
  • Yadav, V.K.*, Jahageerdar, S. and Adinarayana, J. (2019). Validation of chlorophyll-a and sea surface temperature concentration and their relationship with the parameters—diffuse attenuation coefficient and photosynthetically active radiation using MODIS data: A case study of Gujarat coastal region. Indian Journal of Geo-Marine Sciences, 48(09), pp. 1370-1376. http://nopr.niscair.res.in/bitstream/123456789/50473/3/IJMS%2048%289%29%201370-1376.pdf
  • Yadav, V.K. *, Jahageerdar, S. and Adinarayana, J. (2019). A comparison of different fuzzy inference systems for prediction of catch per unit effort (CPUE) of fish. Indian Journal of Geo-Marine Sciences, Vol.48(01), pp. 60-69 http://nopr.niscair.res.in/bitstream/123456789/45651/3/IJMS%2048%281%29%2060-69.pdf
  • Badnakhe, M.R. *, Durbha, S.S., Jagarlapudi, A. and Gade, R.M. (2018). Evaluation of Citrus Gummosis disease dynamics and predictions with weather and inversion-based leaf optical model. Computers and Electronics in Agriculture, 155, pp.130-141. https://doi.org/10.1016/j.compag.2018.10.009
  • Peddinti, S.R. *, Kambhammettu, B.V.N.P., Ranjan, S., Suradhaniwar, S., Badnakhe, M.R., Adinarayana, J. and Gade, R.M. (2018). Modeling soil–water–disease interactions of flood-irrigated mandarin orange trees: Role of root distribution parameters. Vadose Zone Journal, 17(1) (Soil Science Society of America) (John Wiley). https://acsess.onlinelibrary.wiley.com/doi/abs/10.2136/vzj2017.06.0129
  • Ranjan, S., Kambhammettu, B.V.N.P. *, Peddinti, S.R. and Adinarayana, J. (2018). A compressed sensing-based 3D resistivity inversion algorithm for hydrogeological applications. Journal of Applied Geophysics (Elsevier), 151, pp.318-327. https://doi.org/10.1016/j.jappgeo.2018.02.008
  • Wagh, S.P., Gade, R.M.*, Lad, R.S., Adinarayana, J. and Phanindra, K.B.V.N. (2018). Epidemiological relations to population dynamics of Phytophthora spp. in Mandarin. Indian Phytopathology, 71(2), pp.213-218. https://doi.org/10.1007/s42360-018-0035-x
  • Choudhari, R.J., Gade, R.M.*, Lad, R.S., Adinarayana, J. and Phanindra, K.B.V.N. (2018). Epidemiological relations to Phytophthora spp. causing citrus root rot in Nagpur Mandarin. International Journal of Current Microbiology and Applied Sciences, Special Issue-6, 406-417. https://www.ijcmas.com/special/6/R.%20J.%20Choudhari%20et%20al.pdf
  • Sawant, S. *, Durbha, S.S. and Jagarlapudi, A. (2017). Interoperable agro-meteorological observation and analysis platform for precision agriculture: A case study in citrus crop water requirement estimation. Computers and Electronics in Agriculture, 138, pp.175-187. http://dx.doi.org/10.1016/j.compag.2017.04.019
  • Yadav, Vinod K.*, Jahageerdar, Shrinivas, Ramasubramanian, V. Bharti, Vidya S., Adinarayana, J. (2016). Use of different approaches to model catch per unit effort (CPUE) abundance of fish. Indian Journal of Geo-Marine Sciences, 45(12), pp. 1677-1687. http://nopr.niscair.res.in/bitstream/123456789/40547/1/IJMS%2045%2812%29%201677-1687.pdf
  • Adinarayana, J., Sudharsan, D. *, Ninomiya, S., Hirafuji, M. and Kiura, T. (2015). GeoSense: Decision Support System for Precision Faming in India. Wulfania Multi-disciplinary Journal, 22(2), pp.22-47.
  • Aher, P.D. *, Adinarayana, J. and Gorantiwar, S.D. (2014). Quantification of morphometric characterization and prioritization for management planning in semi-arid tropics of India: a remote sensing and GIS approach. Journal of Hydrology, 511, pp.850-860. http://dx.doi.org/10.1016/j.jhydrol.2014.02.028
  • SA Sawant, PD Aher, J Adinarayana, SS Durbha (2013). Integration of Satellite Remote Sensing and Interoperable Field Sensor Networks for Estimation of Regional Crop Water Requirement Trends. Forest, 2013
  • Tripathy, A.K. *, Adinarayana, J., Vijayalakshmi, K., Merchant, S.N., Desai, U.B., Ninomiya, S., Hirafuji, M. and Kiura, T. (2014). Knowledge discovery and Leaf Spot dynamics of groundnut crop through wireless sensor network and data mining techniques. Computers and Electronics in Agriculture, 107, pp.104-114. http://dx.doi.org/10.1016/j.compag.2014.05.009
  • A. K. Tripathy, J. Adinarayana, S. N. Merchant, U. B. Desai, K. Vijayalakshmi, D. Raji Reddy, S. Ninomiya, M. Hirafuji and T. Kiura (2013). Data Mining and Wireless Sensor Network for Groundnut Pest/Disease Interaction and Predictions - A Preliminary Study. International Journal of Computer Information Systems and Industrial Management Applications. ISSN 2150-7988, Volume 5, pp. 427-436. http://eprints.icrisat.ac.in/7604/1/IJCISIMA_5_427-436_2013.pdf
  • Aher P D.*, Adinarayana J and Gorantiwar, S D. (2013). Prioritization of watersheds using multi-criteria evaluation through fuzzy analytical hierarchy process. Agric. Eng. International, CIGR Journal, 15(1), pp. -18.https://cigrjournal.org/index.php/Ejounral/article/%20%20view/2282
  • Hirafuji, M.* ; Yoichi, H. ; Miki, Y. ; Kiura, T. ; Fukatsu, T. ; Tanaka, K. ; Matsumoto, K. ; Hoshi, N. ; Nesumi, H. ; Shibuya, Y. ; Itoh, A. ; Ninomiya, S. ; Adinarayana, J. ; Sudharsan, D. ; Saito, Y. ; Kobayashi, K. ; Suzuki, T. (2013). Development of an open field server and sensor cloud system. Agricultural Information Research, 22(1), pp.60-70. https://doi.org/10.3173/air.22.60 ( ISSN : 0916-9482)
  • Sudharsan, D. *, Adinarayana, J., Reddy, D.R., G. Sreenivas, S. Ninomiya, M. Hirafuji, T. Kiura, K. Tanaka, U. B. Desai & S. N. Merchant (2013). Evaluation of weather-based rice yield models in India. International Journal of Biometeorology (Springer), 57, pp. 107–123. https://doi.org/10.1007/s00484-012-0538-6
  • Tripathy, A.K. and Adinarayana, J. and Sudharsan, D., Vijayalakshmi K., S. N. Merchant S N. and Desai U B. (2012) Data Mining and Wireless Sensor Network for Groundnut Pest Thrips Dynamics and Predictions. Journal of Emerging Trends in Computing and Information Sciences, 3 (6). pp. 913-929
  • D. Sudharsan, J. Adinarayana, S. Ninomiya, M. Hirafuji and T. Kiura (2012). Dynamic Real Time Distributed Sensor Network Based Database Management System Using Xml, Java And Php Technologies. International Journal of Database Management Systems ( IJDMS ) 4(1), pp. 9-20 (DOI: 10.5121/ijdms.2012.4102 9) https://airccse.org/journal/ijdms/papers/4112ijdms02.pdf
  • Sudharsan, D.*, Adinarayana, J., Tripathy, A.K., Ninomiya, S., Hirafuji, M., Kiura, T., Desai, U.B., Merchant, S.N., Reddy, D.R. and Sreenivas, G. (2012). GeoSense: a multimode information and communication system. ISRN Sensor Networks, volume 2012, article ID 215103, 1-13 pages, DOI: 10.5402/2012/215103 (Hindawi). https://doi.org/10.5402/2012/215103
  • Sawant, S.A.*, Adinarayana, J., Durbha, S.S., Tripathy, A.K. and Sudharsan, D. (2012). Service oriented architecture for wireless sensor networks in agriculture. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 467–472, 2012. https://doi.org/10.5194/isprsarchives-XXXIX-B4-467-2012
  • Pradhan, B., Chaudhari, A., Adinarayana, J. and Buchroithner, M.F. (2012). Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: a case study at Penang Island. Malaysia. Environmental Monitoring and Assessment (Springer), 184(2), pp.715-727. https://doi.org/10.1007/s10661-011-1996-8
  • Aher, P.D., Adinarayana, J. and Gorantiwar, S.D. (2011). Remote sensing and artificial neural network in spatial assessment of air temperature in a semi-arid watershed. International Journal of Earth Sciences and Engineering, 4(6), pp.351-354. (ISSN:09745904). https://www.researchgate.net/publication/268437969
  • Adinarayana, J. *, Azmi, S., Tewari, G. and Sudharsan, D. (2008). GramyaVikas: A distributed collaboration model for rural development planning. Computers and Electronics in Agriculture, 62(2), pp.128-140 (doi:10.1016/j.compag.2007.12.008). https://www.sciencedirect.com/science/article/pii/S0168169907002451?via%3Dihub
  • Adinarayana, J., Laurenson, M. and Ninomiya, S., (2006). Web-based decision support system for rural land use planning-WebLUP-a prototype. Agricultural Engineering International: CIGR Journal, IT 05 005. Vol. VIII. https://cigrjournal.org/index.php/Ejounral/article/viewFile/635/629
  • Adinarayana, J. *, Raj, F.J. and Sharma, V. (2004). Village level information system-a tool for decentralized planning at district level in India. Journal of Environmental Informatics, 4 (2) 56-64. (doi:10.3808/jei.200400037). http://www.jeionline.org/index.php?journal=mys&page=article&op=view&path%5B%5D=200400037
  • Adinarayana J.*, Shibani Maitra and David Dent (2001). A spatial decision support system for land use planning at district level in India. The Land, 4(2), 111-130 ((Journal of the International Society of Land Use, FAO/NRI-UK).
  • Adinarayana, J. *, Rao, K.G., Krishna, N.R., Venkatachalam, P. and Suri, J.K. (1999). A rule-based soil erosion model for a hilly catchment. Catena, 37(3-4), pp. 309-318. https://www.sciencedirect.com/science/article/pii/S0341816299000235
  • Adinarayana J.* (1997). A systems-approach model for conservation planning of a hilly watershed. ITC-Journal, 4/1997 (in CD-ROM) (Special Issue on the ISSS/ITC International Conference on Geo-Information for Sustainable Land Management, ITC, Enschede, The Netherlands, 17-21 August 1997).
  • Adinarayana J*, (1996). Watershed environmental resources in soil erosion assessment, Journal of Science, Technology and Development (Taylor & Francis), 14(2), pp. 1-11
  • J. Adinarayana * and N. Rama Krishna (1996). Integration of multi-seasonal remotely-sensed images for improved land use classification of a hilly watershed using geographical information systems. International Journal of Remote Sensing, 17:9, pp.1679-1688. https://doi.org/10.1080/01431169608948731
  • Adinarayana, J. *, Krishna, N.R. and Rao, K.G. (1995). An integrated approach for prioritization of watersheds. Journal of Environmental Management, 44(4), pp. 375-384. https://doi.org/10.1016/S0301-4797(95)90374-7
  • Adinarayana, J.* and Krishna, N.R. (1995). An approach to land‐use planning in a hilly watershed using geographical information system. Land Degradation & Development, 6(3), pp.171-178. https://doi.org/10.1002/ldr.3400060305
  • K. Gopal Rao* and J. Adinarayana (1994). Qualitative assessment of soil erosion for watershed prioritization - A database approach. Asian-Pacific Remote Sensing Journal, ESCAP, Bangkok, 7, pp 147-154.
  • Adinarayana, J. *, Flach, J.D. and Collins, W.G. (1994). Mapping land use patterns in a river catchment using geographical information systems. Journal of Environmental Management, 42(1), pp.55-61. https://doi.org/10.1006/jema.1994.1060
  • Mehrotra, A. *, Yadav, V.K. and Adinarayana, J. (1991). Temporal changes of vegetal cover in Indian semi-arid tropics through Landsat images. Journal of Environmental Management, 32(1), pp.35-43. https://doi.org/10.1016/S0301-4797(05)80079-9
  • Mehrotra, A.*, M.V. Khire, J. Adinarayana, V.K.Yadav, A.B. Inamdar and R. Nagarajan (1990). Mapping of wastelands using Landsat Thematic Mapper data - An approach and a case study. Asian-Pacific Remote Sensing Journal, ESCAP, Bangkok, 2(2), 25-31.
  • Adinarayana J* and Tiwari R C (1989). Iron uptake by Barley cultivars as influenced by Nitrogen rate. Journal of Indian Society of Soil Science, 37, pp. 180-182.
  • Mehrota A*, Yadav V K and Adinarayana J (1988). Land use studies of Udaipur and its surroundings. Indian Journal of Landscape Systems and Ecological Studies, II(2), pp. 65-68 ( From Institute of Landscape, Ecology and Ekistics, Kolkata)
  • Adinarayana, J. * and Tiwari, R.C. (1987). Nitrogen use efficiency of unirrigated barley as affected by shortage of water. The Journal of Agricultural Science, Cambridge, 109(1), pp.33-38. DOI: https://doi.org/10.1017/S0021859600080953
  • Tiwari, R.C *, and Adinarayana, J. (1985). The effect of rate of application of nitrogen fertilizer on soil copper uptake by barley under unirrigated conditions. The Journal of Agricultural Science, Cambridge, 104(3), 583-587. DOI: https://doi.org/10.1017/S002185960004435X
  • Tiwari R.C. and Adinarayana J.* (1984). Manganese nutrition of rainfed barley as influenced by varieties and nitrogen levels. Journal of Agricultural Research & Rural Development, 7, pp 18-24 (Journal from Institute of Agricultural Sciences, BHU)

Patents

  • Sawant S.A., Durbha S.S. and J. Adinarayana (2015). SenseTube: Interoperable Wireless Sensing System for Precision Agriculture. 2236/MUM/2015/India

Conferences (Selective)

  • Nandan, R., Kumar, P., Woo, D. K., & Adinarayana, J. (2021). Role of leaf-level nitrogen allocation in nitrogen-fertilizer management of maize crop under climate change. In AGU Fall Meeting 2021. AGU (https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/904281)
  • Mukesh Kumar Vishal*, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee *, Amit Sethi, Dhandapani Raju, Sudhir Kumar, R N Sahoo, Viswanathan Chinnusamy, and J Adinarayana* (2020). Image-Based Phenotyping of Diverse Rice (Oryza Sativa L.) Genotypes. Eighth International (virtual) Conference on Learning Representations (ICLR2020), Link: https://arxiv.org/pdf/2004.02498v1.pdf OR https://arxiv.org/abs/2004.02498 OR arXiv:2004.02498
  • Nandan, R., Woo, D., Kumar, P., & Adinarayana, J. (2020). Impact of Irrigation Scheduling Methods on Corn Yield Under Climate Change. AGUFM, 2020, GC023-0006 ( https://agu.confex.com/agu/fm20/meetingapp.cgi/Paper/747444)
  • Mukesh Kumar Vishal; Biplab Banerjee; Rohit Saluja; Dhandapani Raju; Viswanathan Chinnusamy (2020). Leaf Counting in Rice (Oryza Sativa L.) Using Object Detection: A Deep Learning Approach, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 5286-5289, https://ieeexplore.ieee.org/document/9324153/authors#authors
  • Nandan, R., Woo, D., Kumar, P., & Adinarayana, J. (2019). Effects of Precipitation Variation and Irrigation Scheduling Methods on Maize under Future Climatic conditions. In AGU Fall Meeting 2019, GC41H-1253, https://ui.adsabs.harvard.edu/abs/2019AGUFMGC41H1253N/abstract
  • S. Kar, R. Tanaka, H. Iwata, J. Kholová, S. Durbha, J. Adinarayana, V. Vadez (2020). Multi-Scale Time Series Analysis Of Evapotranspiration For High-Throughput Phenotyping Frequency Optimization, 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 2020, pp. 98-103, https://ieeexplore.ieee.org/document/9165630, doi: 10.1109/LAGIRS48042.2020.9165630, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9165630
  • Soumyashree Kar and Adinarayana Jagarlapudi (2019). Identification of genotypic differences of HTPP time-series data using data mining methods, Second International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS 2019), 11-12.09.2019, Iowa, USA (https://register.extension.iastate.edu/mlcas2019) (Adjusted as one of the two best papers in the Workshop)
  • Kar S., Tanaka R., Iwata H., Kholová J., Durbha SS., Adinarayana J., Vadez V. Random Forests Feature Selection-based Analysis of Genotypic Differences in the Water-Saving Trait of Chickpea Crop. In 6th International Plant Phenotyping Symposium (IPPN) 2019, Oct 26, Nanjing, China. (Adjudged as the Best paper)
  • S. Suradhanwiar, S. S. Durbha and J. Adinarayana (2017). Energy optimization in wireless sensor networks using duty-cycling approach. 6th International IEEE Conference on Agro-Geoinformatics, Fairfax, VA, 2017, pp. 1-6. https://ieeexplore.ieee.org/abstract/document/8047043
  • Kar, S., Mandal, D., Bhattacharya, A. and Adinarayana, J., 2017, July. Temporal analysis of Touzi parameters for wheat crop characterization using L-band AgriSAR 2006 data. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 3909-3912). IEEE. https://ieeexplore.ieee.org/abstract/document/8127855 https://doi.org/10.1109/IGARSS.2017.8127855
  • Sawant, S. A., M. Chakraborty, S. Suradhaniwar, J. Adinarayana, and S. S. Durbha (2016). Time series analysis of remote sensing observations for citrus crop growth stage and evapotranspiration estimation. The XXIII Congress of International Society for Photogrammetry and Remote Sensing (ISPRS 2016), Commission VIII, WG VIII/8. 12th-19th July, 2016, Prague Czech Republic. http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/1037/2016/, 1037-1042
  • S. Suradhaniwar, S. A. Sawant, M. Badnakhe, S. S. Durbha and J. Adinarayana (2016). An interoperable wireless sensor network platform for spatio-temporal soil moisture and soil temperature estimation Fifth International IEEE Conference on Agro-Geoinformatics, Tianjin, 2016, pp. 1-6. https://ieeexplore.ieee.org/abstract/document/7577643
  • Sawant S.A., Adinarayana J. and Durbha S.S. (2014). KrishiSense: A Semantically Aware Web Enabled Wireless Sensor Network System for Precision Agriculture Applications. International Geoscience and Remote Sensing Symposium (IGARSS 2014), July 13-18, 2014, Quebec, Canada, pp 4090-4093.
  • Sawant S.A., Aher P.D. and Adinarayana J. (2014). Towards a Web Map Service for Spatio-temporal Assessment of Evapotranspiration. 2014 Evapotranspiration: Challenges in measurement and Modeling from Leaf to the Landscape Scale and Beyond (ASABE 14), Apr 7-10, 2014, Raleigh, North Carolina, US.
  • A. K. Tripathy et al., ""Data mining and wireless sensor network for groundnut pest/disease precision protection,"" 2013 National Conference on Parallel Computing Technologies (PARCOMPTECH), 2013, pp. 1-8, doi: 10.1109/ParCompTech.2013.6621399. https://ieeexplore.ieee.org/abstract/document/6621399
  • Adinarayana, J., Sudharsan, D., Tripathy, A.K., Sawant, S.A., Merchant, S.N., Desai, U.B., Devasekhar, S., Karandikar, K., Ninomiya, S., Hirafuji, M. and Kiura, T. (2012). GeoSense: An Information, Communication and Dissemination System for Decision Support in Precision Farming, Third National Conference on Agro-Informatics and Precision Agriculture 2012 (AIPA 2012), Aug. 1-3 2012, Hyderabad, India.
  • Sawant, S.A., Adinarayana, J., Durbha, S.S., Tripathy, A.K. and Sudharsan, D. (2012). Service Oriented Architecture for Wireless Sensor Networks in Agriculture. The XXII Congress of International Society for Photogrammetry and Remote Sensing (ISPRS 2012), Aug. 25th-1st Sept. 2012, Melbourne Australia. http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B4/467/2012/isprsarchives-XXXIX-B4-467-2012.pdf
  • Aher, P.D., Adinarayana, J. and Gorantiwar, S.D., 2012. Use of morphological characteristics for multi-criteria evaluation through fuzzy analytical hierarchy process for prioritization of watersheds. In 21st Century Watershed Technology: Improving Water Quality and Environment Conference Proceedings, May 27-June 1, 2012, Bari, Italy (p. 1). American Society of Agricultural and Biological Engineers.
  • Patil, V.M., Durbha, S.S. and Adinarayana, J., 2012, July. Standards-based sensor web for agro-informatics applications. In 2012 IEEE International Geoscience and Remote Sensing Symposium (pp. 6681-6684). IEEE.
  • Masayuki Hirafuji, Hideo Yoichi, Takuji Kiura, Keiko Matsumoto, Tokihiro Fukatsu, Kei Tanaka, Yukinori Shibuya, Atsushi Itoh, Hirohisa Nesumi, Norihiro Hoshi, Seishi Ninomiya, J Adinarayana, D Sudharsan, Yasunori Saito, Kazuki Kobayashi, Takanobu Suzuki (2011). Creating High-performance/Low-cost Ambient Sensor Cloud System Using OpenFS (Open Field Server) for High-throughput Phenotyping, SICE Annual Conference 2011, September 13-18, 2011, Tokyo, Japan, pp 2090-2092 (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6060316)
  • AK Tripathy, J Adinarayana, D Sudharsan, SN Merchant, UB Desai, K Vijayalakshmi, D Raji Reddy, G Sreenivas, S Ninomiya, M Hirafuji, T Kiura, K Tanaka (2011). Data mining and wireless sensor network for agriculture pest/disease predictions. 2011 World Congress on Information and Communication Technologies, 1229-1234 (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6141424)
  • Sudharsan, D., Adinarayana, J., Tripthy, A.K., Desai, U.B., Marchant, S.N., Ninomiya, S., Hirafuji, M., Kiura, T. and Tanaka, K., 2011. GeoSense: Geo-ICT and wireless sensor network based dynamic real-time decision support system for precision agriculture. In Proceedings of CIGR 2011 International Symposium “Sustainable Bioproduction: Water, Energy and Food”: Session (Vol. 6, pp. 19-23).
  • Sudharsan, D., J. Adinarayana, A. K. Tripathy, C. P. R. G. Naveen, U. B. Desai, S. N. Merchant, S. Ninomiya et al. "Dynamic simulation and comparision of rice growth and yield prediction by wireless sensor network technology." In Proceedings of the 3rd International Rice Congress, pp. 10-15. 2010.
  • A. K. Tripathy, J. Adinarayana and D. Sudharsan, (2009). Geospatial data mining for Agriculture pest management - a framework, 17th International Conference on Geoinformatics, 2009, pp. 1-6, doi: 10.1109/GEOINFORMATICS.2009.5293296

Books

  • Obi Reddy G P, Mehul Raval, Adinarayana J, and Sanjay Chaudhury (2021). Data Sciences in Agriculture and Natural Resources Management (ISBN 978-981-16-5846-4), Springer. https://www.springer.com/gp/book/9789811658464 (to be released in November 2021).
  • J Adinarayana, Soumyashree Kar, Rohit Nandan and Rahul Raj (2018). Research Frontiers in Precision Agriculture (ISBN: 978-93-88237-13-0), Excel India Publishers, New Delhi (Proceedings of AFITA/WCCA20218 Conference, 24-26 October 2018, IIT Bombay). http://www.apfita.org/OW/afita_wcca2018/index.html

Book Chapters

  • Mehul S. Raval, G.P. Obi Reddy, Sanjay Chaudhary, and J. Adinarayana (2022). Data Science, Computer Vision and Machine Learning for Agriculture and Natural Resource Management: An Overview, In: Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite and Uma Maheswari (Edts) Computer Vision Applications of Visual AI and Image Processing, DE GRUYTER, Berlin, Germany. (ISBN No. 978-3-11-070251-4 (PDF)) (published in Series “Frontiers in Computational Intelligence” FCI) (indexed by Elsevier/Scopus), https://sites.google.com/view/cvip-2021/home
  • Raval M.S., Chaudhary S., Adinarayana J. (2021). Computer Vision and Machine Learning in Agriculture. In: Reddy G.P.O., Raval M.S., Adinarayana J. (Edts) Chaudhary S. Data Science in Agriculture and Natural Resource Management. Studies in Big Data, vol 96, Pages 97-126, Springer, Singapore., https://doi.org/10.1007/978-981-16-5847-1_5
  • Soumyashree Kar, Rohit Nandan, Rahul Raj, Saurabh Suradhaniwar and J. Adinarayana. Improving data management and decision-making in precision agriculture, In: Leisa Armstrong (ed) Improving data management and decision support systems in agriculture, Burleigh Dodds Science Publishing Limited, UK. (ISBN-13: 9781786763402), https://shop.bdspublishing.com/store/bds/detail/workgroup/3-190-88809 , http://dx.doi.org/10.19103/AS.2020.0069.07
  • Raj R., Suradhaniwar S., Nandan R., Jagarlapudi Adinarayana., Walker J. (2020). Drone-Based Sensing for Leaf Area Index Estimation of Citrus Canopy. In: Jain K., Khoshelham K., Zhu X., Tiwari A. (eds), Proceedings of UASG 2019. UASG 2019. Lecture Notes in Civil Engineering, vol 51. Springer, Cham, pp 79-89, https://doi.org/10.1007/978-3-030-37393-1_9
  • Raj R., Kar S., Nandan R., Jagarlapudi Adinarayana. (2020). Precision Agriculture and Unmanned Aerial Vehicles (UAVs). In: Avtar R., Watanabe T. (eds), Unmanned Aerial Vehicle: Applications in Agriculture and Environment. Springer, Cham, pp 7-24, https://doi.org/10.1007/978-3-030-27157-2_2
  • Suradhaniwar S., Kar S., Nandan R., Raj R., Jagarlapudi Adinarayana. (2018). Geo-ICDTs: Principles and Applications in Agriculture. In: Reddy G., Singh S. (eds), Geospatial Technologies in Land Resources Mapping, Monitoring and Management. Geotechnologies and the Environment, vol 21, pp. 77-99, Springer, Cham (https://doi.org/10.1007/978-3-319-78711-4_5
  • P D Aher, J Adinarayana, S D Gorantiwar and S A Sawant (2014). Information System for Integrated Watershed Management Using Remote Sensing and GIS. In: Srivastava, P.K., Mukherjee, S., Gupta, M., Islam, T (eds), Remote Sensing Applications in Environmental Research, Published in Society of Earth Scientist Series, Springer Verlag, USA. ISBN 978-3-319-05905-1,2014, pp.17-34 (DOI https://doi.org/10.1007/978-3-319-05906-8_2)
  • Ramesh, R., Arun Kumar, R., Inamdar, A.B., Mohan, P.M., Prithviraj, M.,Ramachandr an, S., Purvaja, R., Chingkhei, K., Dolendro, T., Venkataraman, G.,Khire, M.V., Gedam, S.S., Rao, Y.S., Adinarayana, J. and Nagarajan, R. (2006). Tsunami characterization and mapping in Andaman and Nicobar Islands. In: 26th December 2004 Tsunami Causes, Effects Remedial Measures, Pre and Post Tsunami Disaster Management, a Geo-scientific Perspective, New Academic Publishers, New Delhi, pp. 150–174. Link
  • Adinarayana J (1997). Watershed Management Information Systems, In: Teng, P., Kropff, M.J., ten Berge, H.F.M., Dent, J.B., Lansigan, F.P., Van Laar, H.H. (es) Applications of Systems Approaches at the Farm and Regional Levels), Volume I, pp. 439-446, Springer-Verlag (ISBN 978-94-011-5416-1). https://link.springer.com/chapter/10.1007/978-94-011-5416-1_32https://www.springer.com/in/book/9780792342854