A5004628088- Sugarcane Cultivation and Processing
- Agricultural Economics and Practices
- Spectroscopy and Chemometric Analyses
- Edcuational Technology Systems
- Natural Products and Biological Research
- Smart Agriculture and AI
- Agricultural Science and Fertilization
- Rice Cultivation and Yield Improvement
- Model-Driven Software Engineering Techniques
- ICT Impact and Policies
- Multi-Agent Systems and Negotiation
- Irrigation Practices and Water Management
- Management, Economics, and Public Policy
- Imbalanced Data Classification Techniques
- Advanced Computational Techniques and Applications
- Water resources management and optimization
- Genetics and Plant Breeding
- Service-Oriented Architecture and Web Services
Indian Institute of Sugarcane Research
2010-2023
S. N. Singha*, A. K. Saha, R. Singha, V. Singha & Hasana a Indian Institute of Sugarcane Research , Lucknow, Uttar Pradesh, India
Deep learning is a class of machine algorithms that extract high-level features from the raw input for making intelligent decisions. Identification promising genotypes in varietal trials one many agriculture domain applications requiring implementation deep to perform decision using trial data. However, it has been found data be used identification highly imbalanced providing great challenges classification tasks learning. For example, only 33 were identified as zonal All India Coordinated...
India, the second-largest sugarcane producing country in world, possesses a simple, naked eye diagnosis system for insect and pests, which is not only laborious error-prone but has its own limitations due to paucity of skilled manpower. Furthermore, similarities injury symptoms among distinct pests diseases, it difficult diagnose manage them timely manner. Artificial intelligence (AI) can be used detect causal organisms reduce economic losses sugar industry. In this study, five different...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL Multiclass Image Classification of Sugarcane Insect Pest Damage Deep Convolutional Networks Based on Transfer Learning 27 Pages Posted: 1 Dec 2022 See all articles by Chandramani RajChandramani Rajaffiliation not provided SSRNShweta Singhaffiliation SSRNRajesh U. Modiaffiliation SSRNArun Baithaaffiliation SSRNBlessy V. Aaffiliation SSRNSatya Nand...
Genotypes of varietal trials for identification promising genotypes sugarcane undergoes location-based and multiphase testing both plant ratoon crop. Identification depends upon analytical studies data collected from the trials. Data on more than twenty characters such as germination%, tillers, shoots, NMC, fibre, brix, sucrose, CCS, cane yield, etc are frequently, starting germination stage till harvesting at different stages It is a quite complex time-consuming task information about some...