T. Misra

NON-DESTRUCTIVE PHENOTYPING OF RICE PLANT THROUGH IMAGE ANALYSIS

T. Misra, 2013 .

Artificial neural network for estimating leaf fresh weight of rice plant through visual-nir imaging

R. Sahoo, V. Chinnusamy, Alka Arora, 2019, The Indian Journal of Agricultural Sciences.

Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images

Ranjeet Ranjan Jha, V. Chinnusamy, Alka Arora, 2022, Appl. Artif. Intell..

SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

Ranjeet Ranjan Jha, R. Sahoo, Sudhir Kumar, 2020, Plant Methods.

Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants

Sudeep Marwaha, Ranjeet Ranjan Jha, Aditya Nigam, 2021, IEEE Access.

SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

Aditya Nigam, Ranjeet Ranjan Jha, Mrinmoy Ray, 2020, Plant Methods.

Leaf area assessment using image processing and support vector regression in rice

V. Chinnusamy, Alka Arora, S. Marwaha, 2022, The Indian Journal of Agricultural Sciences.

Web enabled and weather based forewarning of yellow stem borer [Scirpophaga incertulas (Walker)] and leaf folder [Cnaphalocrcis medinalis (Guenee)] for different rice growing locations of India

C. Chattopadhyay, S. Vennila, S. Roy, 2021, MAUSAM.

Online software for forewarning of onion thrips

Alka Arora, Sudeep Marwaha, Rajni Jain, 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).