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Alka Arora
Alka Arora
Principal Scientist,Computer Application, Indian Agricultural Statistics Research Institute, ICAR
Verified email at icar.gov.in
Title
Cited by
Cited by
Year
A Novel Adoption Index of Selected Agricultural Technologies: Linkages with Infrastructure and Productivity
Rajni Jain, Alka Arora, S.S.Raju
Agricultural Economics Research Review 22, 109-120, 2009
902009
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging
T Misra, A Arora, S Marwaha, V Chinnusamy, AR Rao, R Jain, RN Sahoo, ...
Plant methods 16, 1-20, 2020
832020
Deep learning-based approach for identification of diseases of maize crop
MA Haque, S Marwaha, CK Deb, S Nigam, A Arora, KS Hooda, ...
Scientific reports 12 (1), 6334, 2022
642022
Intraspecific Variation in Nitrogen Uptake and Nitrogen Utilization Efficiency in Wheat (Triticum aestivum L.)
VP Singh, A Arora
Journal of Agronomy and Crop Science 186 (4), 239-244, 2001
512001
Deep transfer learning model for disease identification in wheat crop
VKS Sapna Nigam, Rajni Jain, Sudeep Marwaha, Alka Arora, Md. Ashraful Haque ...
Ecological Informatics, 2023
342023
Era of Artificial Intelligence: Prospects for IndianAgriculture
LM Bhar, V Ramasubramanian, A Arora, S Marwaha, R Parsad
Indian Council of Agricultural Research, New Delhi, 2019
212019
Web-SpikeSegNet: deep learning framework for recognition and counting of spikes from visual images of wheat plants
T MISRA, A ARORA, S MARWAHA, RR JHA, M RAY, AR RAO, ...
IEEE Access 9, 76235-76247, 2021
162021
Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants
T MISRA, A ARORA, S MARWAHA, RR JHA, M RAY, R JAIN, AR RAO, ...
IEEE Access 9, 76235-76247, 2021
162021
Wheat disease severity estimation: a deep learning approach
S Nigam, R Jain, S Prakash, S Marwaha, A Arora, VK Singh, AK Singh, ...
International conference on Internet of things and connected technologies …, 2021
142021
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
Shuchita Upadhyaya, Alka Arora, Rajni Jain
International Conference on Data Mining (DMIN'06), Las Vegas, Nevada, USA …, 2006
14*2006
Decision support system for nutrient management in crops
S Pal, IC Sethi, A Alka
Unpublished M. Sc. Thesis, IARI, New Delhi, 2005
13*2005
SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques
AK Maji, S Marwaha, S Kumar, A Arora, V Chinnusamy, S Islam
Frontiers in Plant Science 13, 889853, 2022
122022
Alleviation of antioxidants activity in gladiolus flowers during senescence by spermine and spermidine
VP Singh, D Kiran, A Arora
Journal of Ornamental Horticulture 8 (3), 167-172, 2005
122005
Image-based identification of maydis leaf blight disease of maize (Zea mays) using deep learning
MA Haque, S Marwaha, A Arora, RK Paul, KS Hooda, A Sharma, ...
Not Available, 2021
112021
Automating yellow rust disease identification in wheat using artificial intelligence
S Nigam, R Jain, S Marwaha, A Arora, VK Singh, AK Singh, RK Paul, ...
The Indian Journal of Agricultural Sciences, 2021
102021
Wheat rust disease identification using deep learning
S Nigam, R Jain, S Marwaha, A Arora
De Gruyter, 2021
102021
Web based personnel management information system for Indian council of agricultural research (ICAR)
S Dahiya, B Singh, A Arora, MS Farooqi
J. Ind. Soc. Agril. Statist 58 (2), 244-252, 2004
92004
KVK Mobile App: An ICT tool to empower farmers
S Pal, S Marwaha, A Arora, AK Choubey, AK Singh, RS Poswal, ...
The Indian Journal of Agricultural Sciences 89 (8), 1362-1365, 2019
82019
Artificial neural network for estimating leaf fresh weight of rice plant through visual-nir imaging
T Misra, A Arora, S Marwaha, M Roy, D Raju, S Kumar, S Goel, RN Sahoo, ...
Indian Journal of Agricultural Sciences, 2019
72019
Integrated approach of reduct and Clustering for mining patterns from Clusters
A Arora, R Jain, S Upadhyaya
Information Technology Journal 8 (2), 173-180, 2009
72009
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Articles 1–20