Top 10 Publications having NAAS rating 6 and above with first or corresponding author only

1. Kumar, R. R., Hasija, S., Goswami, S., Tasleem, M., Sakhare, A., Kumar, S., Bakshi, S., Jambhulkar, S., Rai, G.K., Singh, B., Singh, G.P., Pathak, H., Viswanathan, C., Praveen S. (2019) Gamma irradiation protect the developing wheat endosperm from oxidative damage by balancing the trade-off between the defense network and grains quality. Ecotoxicol. Environ. Saf. 174, 637-648
2. Tanuj Misra, Alka Arora, Sudeep Marwaha, Viswanathan Chinnusamy, Atmakuri Ramakrishna Rao, Rajni Jain, Rabi Narayan Sahoo, Mrinmoy Ray, Sudhir Kumar, Dhandapani Raju, Ranjeet Ranjan Jha, Aditya Nigam and Swati Goel (2020) SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging. Plant Methods 16:40, 1-20
3. Gopal Krishna, Rabi N. Sahoo, Prafull Singh, Himesh Patra, Vaishangi Bajpai, Bappa Das, Sudhir Kumar, Raju Dhandapani, Chandrapal Vishwakarma, Madan Pal & Chinnusamy V. (2019) Application of Thermal Imaging and Hyperspectral Remote Sensing for Crop Water Deficit Stress Monitoring, Geocarto International, 1-18
4. Sakhare, A. S., Kumar, S, Kumar, R. R., Bainsla, N. K., Gaikwad, K. B., Sharma, R. K. and Chinnusamy, V. (2019). A facile and cheaper method to measure root angle of rice and wheat. Indian Journal of Agricultural Sciences. 89(6):934-939
5. Tanuj Misra, Alka Arora, Sudeep Marwaha, Mrinmoy Ray, Viswanathan Chinnusamy, Dhandapani Raju, Sudhir Kumar, Rabi Narayan Sahoo (2019) Artificial Neural Network Approach for Estimating Leaf Fresh Weight (LFW) Of Rice Plant Through Visual-NIR (VIS-NIR) Imaging, Indian journal of agriculture sciences 89 (10), 146-150
6. Rabi N Sahoo, C Viswanathan,Gopal Krishna, Bappa Das, Swati Goel, Raju Dhandapani, Sudhir Kumar, Chandrapal Viswakarma, P Swain, and SK Dash (2019) Next generation phenotyping for developing climate resilient rice varieties. Oryza Vol. 56 (Special Issue) 92-105
7. P Singh, RR Kumar, S Goswami, GK Rai, A Sakhare, S Kumar, SD Singh, S Bakshi, SJ Jamhulkar, Sindhu Sareen, GP Singh, V Chinnusamy, S Praveen (2019) A putative heat-responsive transcription factor (TaHD97) and its targets in wheat (Triticum aestivum) providing thermotolerance, Indian Journal of Biotechnology 18: 214-223
8. Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar & Viswanathan Chinnusamy (2022) Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images, Applied Artificial Intelligence, 36:1
9. Vishal MK, Saluja R, Aggrawal D, Banerjee B, Raju D, Kumar S, Chinnusamy V, Sahoo RN, Adinarayana J.(2022) Leaf Count Aided Novel Framework for Rice (Oryza sativa L.) Genotypes Discrimination in Phenomics: Leveraging Computer Vision and Deep Learning Applications. Plants. ; 11(19):2663
10. Kumar, Tapan,Tiwari, Neha,Bharadwaj, C.,Roorkiwal, Manish Reddy, Sneha Priya Pappula,Patil, B. S.,Kumar, Sudhir,Hamwieh, Aladdin,Vinutha, T.,Bindra, Shayla,Singh, Inderjit,Alam, Afroz,Chaturvedi, Sushil Kumar Kumar, Yogesh ,Nimmy, M. S.,Siddique, K. H. M.,Varshney, Rajeev K..(2022) A comprehensive analysis of Trehalose-6-phosphate synthase (TPS) gene for salinity tolerance in chickpea (Cicer arietinum L.). Sci Rep 12, 16315

Patent / Technologies / Methodologies / System etc. (Upto Five) :

1. � �SENESCENCICA�, software was designed and developed to quantify the senescence rate and classify the wheat leaves based on leaf colour into categories of green and senescence portion in a high throughput manner.