R
Rajni Jain
Researcher at Agricultural & Applied Economics Association
Publications - 56
Citations - 378
Rajni Jain is an academic researcher from Agricultural & Applied Economics Association. The author has contributed to research in topics: Decision tree & Rough set. The author has an hindex of 9, co-authored 51 publications receiving 253 citations. Previous affiliations of Rajni Jain include Jawaharlal Nehru University.
Papers
More filters
Journal ArticleDOI
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging
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,Swati Goel +12 more
TL;DR: A dedicated deep learning approach has been developed to identify and count spikes in the wheat plants based on combined digital image analysis and deep learning techniques, and the performance of the approach demonstrates that SpikeSegNet is an effective and robust approach for spike detection and counting.
Journal ArticleDOI
Irrigation in India: Status, challenges and options
TL;DR: The average annual per capita water availability has declined from 5000 cubic meter in year 1950 to 1545 cubic meters in year 2011 and estimated to reduce further to 1341 and 1140 cubic meter by year 2025 and 2050, respectively.
Journal ArticleDOI
Multivariate forecast of winter monsoon rainfall in India using SST anomaly as a predictor: Neurocomputing and statistical approaches
TL;DR: In this article, the complexities in the relationship between rainfall and sea surface temperature (SST) anomalies during the winter monsoon over India were evaluated statistically using scatter plot matrices and autocorrelation functions.
Book ChapterDOI
Rough Set Based Decision Tree Model for Classification
TL;DR: RDT model combining the RS tools with classical DT capabilities, is proposed to address the issue of computational overheads and the performance of RDT with RS approach and ID3 algorithm is compared.
Journal ArticleDOI
Estimating potential evapotranspiration from limited weather data over Gangetic West Bengal, India: a neurocomputing approach
TL;DR: In this article, a neurocomputing-based model for estimating the potential evapotranspiration over Gangetic West Bengal, India during the summer monsoon months of June, July and August is presented.