SDG 2: Zero Hunger | Metric 2.1 Research on hunger
2.1.3 Zero hunger: publications
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Table 2: Research Publications from the university on SDG-2 hunger |
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Sl. No. |
Title of Research Paper |
Authors |
Year |
Relevance to SDG 2 – Zero Hunger |
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1 |
Artificial Intelligence Integration with Nanotechnology: A New Frontier for Sustainable and Precision Agriculture |
Ashique, S.; Raikar, A.; Jamil, S.; Lakshminarayana, L.; Gajbhiye, S.A.; De, S.; Kumar, S. |
2025 |
Supports SDG 2 through AI-enabled precision and sustainable agriculture, potentially improving crop productivity and resource-use efficiency. |
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2 |
Technological advancement in sustainable production of biosurfactant using agro-industrial wastes: A review of enhanced bioprocessing and computational optimization techniques |
Paul, S.; Nayak, J.; Paul, I.; Kumar, R.; Jeon, B.-H. |
2025 |
Promotes agricultural and food-system sustainability by converting agro-industrial wastes into useful bioproducts and improving resource efficiency. |
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3 |
Breeding 4.0 vis-à-vis application of artificial intelligence (AI) in crop improvement: an overview |
Ansari, R.; Manna, A.; Hazra, S.; Bose, S.; Chatterjee, A.; Sen, P. |
2025 |
Directly contributes to SDG 2 by applying AI to crop improvement, supporting higher productivity, resilient crops and sustainable food production. |
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4 |
The PROMETHEE-GAIA: A multi-criteria decision-making method for identifying best conservation agricultural practices |
Biswas, T.; Ishizaka, A.; Majumder, A.; Mandal, B.; Dey, S.; Mukherjee, S.; Baishya, A.; Kanthal, S.; Ghosh, S.; Mandal, A.; Chatterjee, R.; Ray, S.; Bhunia, S.; Duary, S.; Bhattacharjee, S.; Mishra, P.; Acharya, S.K. |
2025 |
Supports SDG 2 through identification and adoption of conservation agriculture practices that enhance sustainable food production and agricultural resilience. |
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5 |
Microplastics as emerging stressors in plants: biochemical and metabolic responses |
Pal, S.; Dutta Gupta, S.; Guha, P.S.; Saha, N. |
2025 |
Addresses threats to crop health and productivity from microplastic stress, contributing to safer and more resilient agricultural systems. |
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6 |
Evaluating the bioactivity of Trichoderma asperellum against Colletotrichum siamense and its growth-promoting effects on Aloe vera (Aloe barbadensis Mill.) |
Mukhopadhyay, A.; Mukherjee, S.; Dutta, S.; Kanthal, S.; Mondal, G. |
2025 |
Supports sustainable crop production through biological disease control and plant-growth promotion, reducing dependence on chemical inputs. |
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7 |
Application of Genetic Engineering and Marker-Assisted Breeding Programs for Improving Seed Quality Traits |
Ray, J.; Ghosh, P.K. |
2025 |
Contributes to SDG 2 through improved seed quality, crop performance and development of productive agricultural varieties. |
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8 |
Genetic control of important yield and disease resistance characters predicted through artificial intelligence in cucumber (Cucumis sativus L.) |
Bose, S.; Hazra, A.; Basfore, S.; Mollick, S.; Roy, S.; Hazra, P.; Hazra, S. |
2025 |
Enhances food production by using AI to identify genetic traits associated with crop yield and disease resistance. |
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9 |
Entomopathogenic nematodes in pest management: Mechanisms, efficacy, and future prospects |
Roy, S.D.; Mukhopadhyay, A.K. |
2025 |
Promotes sustainable pest management, protecting crops from losses and supporting stable agricultural productivity and food availability. |
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10 |
Genetic control of important characters determining yield, downy mildew resistance and nutraceutical content predicted through machine learning in cucumber (Cucumis sativus L.) |
Bose, S.; Basfore, S.; Sikder, S.; Sen, P.; Mollick, S.; Chatterjee, A.; Roy, S.; Hazra, P.; Hazra, S. |
2025 |
Directly supports SDG 2 through improvement of crop yield, disease resistance and nutritional/nutraceutical quality. |
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11 |
Impact of entrepreneurial orientation, digital technology, social media, Artificial Intelligence and AI accounting tools on the quality of financial reporting among women artisans as entrepreneurs in the handicraft industry |
Yadav, U.S.; Yadav, A.K.; Rena, R.; Ghosal, I.; Gupta, S.; Vyas, S.; Kumar, A. |
2025 |
Indirect relevance to SDG 2 through strengthening livelihoods and economic opportunities for women entrepreneurs, potentially supporting household food security. |
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12 |
Bioplastic from renewable biomass: Environmental pollution and remediation |
De, S.; Ghosh, A.; Verma, S.K.; Chattopadhyay, D.; Das, D. |
2025 |
Supports sustainable agricultural and food systems by promoting renewable biomass utilization and reducing environmental pollution affecting food-production ecosystems. |
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13 |
Impact of sustainable management, and ESG performance on small and community performance in India in the current scenario |
Yadav, U.S.; Yadav, A.K.; Ghosal, I.; Yadav, S.K.; Verma, A.K. |
2025 |
Indirect relevance through sustainable management and community development, contributing to resilient local economic and food systems. |
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14 |
Harnessing Mycorrhizal Symbiosis: Exploring Its Impact on Medicinal Crops |
Mohanta, R.; Roy, S.D.; De, P.; Maiti, P.; Ghorai, S.; Samanta, A. |
2025 |
Supports sustainable crop production by improving plant nutrient uptake, growth and resilience through mycorrhizal symbiosis. |
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15 |
Breaking down microplastics: insights into the role of actinomycetes in biotic degradation pathways |
Mukhopadhyay, R.; Biswas, K.; Roy, S.; De, P. |
2025 |
Contributes to healthier agricultural ecosystems by exploring biological degradation of microplastics that can threaten soil and food-production systems. |
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16 |
In-vitro evaluation of Trichoderma spp. and plant extracts for biological control of Indian Basil diseases |
Mukherjee, S.; Mukhopadhyay, A.; Singh, S.; Oraon, S.; Mondal, G. |
2025 |
Supports sustainable agriculture through biological disease management, reducing crop losses and dependence on synthetic pesticides. |
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17 |
Interactions of entomopathogenic fungi with insect predators and parasitoids |
Roy, S.D.; Mukhopadhyay, A.K.; Pramanik, A. |
2025 |
Supports integrated and ecological pest management, helping protect crops and sustain food production. |
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18 |
Comparative assessment of PCR based DNA markers in molecular diversity analysis among Indian cashew (Anacardium occidentale L.) germplasm |
Das, S.; Ali, M.N.; Chatterjee, A.; Poduval, M. |
2025 |
Supports conservation and utilization of crop genetic diversity, which is important for resilient and sustainable food production. |
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19 |
Enhancing Agricultural Decision-Making Using Machine Learning: Variety Selection and Yield Prediction for Agriculture Culture Improvement |
Upadhyay, S.; Indumathi, N.; Balamurugan, M.; Kumar, B.; Mandal, S.; Prakash, S. |
2025 |
Directly contributes to SDG 2 through data-driven variety selection and yield prediction to improve agricultural productivity. |
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20 |
Advancement in sustainable food packaging systems derived from sustainable agriculture and food |
Datta, D.; Biswas, S.; Sarkar, S.; Kumari, N.; Das, B. |
2025 |
Supports sustainable food systems by reducing food-related environmental impacts and potentially improving food preservation and reducing waste. |
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21 |
Genetic engineering to enhance the oilseed crops yield |
Dutta, B.; Bhattacharjee, S.; Biswas, K.; Singh, B.K.; Bhowmick, R.; Das, C.; Singh, P.K.; Paul, K. |
2025 |
Directly supports SDG 2 through genetic improvement of oilseed crops for enhanced yield and sustainable food and nutritional production. |
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22 |
Advanced genetic technologies to improve crop abiotic stress resilience |
Chowdhury, S.; Kar, K.; Chakraborty, P.; Ganguly, S.C.; Jit, T.; Majumder, R. |
2025 |
Supports climate-resilient agriculture by developing crops capable of tolerating drought, salinity, temperature and other environmental stresses. |
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23 |
Boosted Query Expansion for Agricultural Decision Support: A Hybrid Framework Combining Case-Based Reasoning, Fuzzification, and Machine Learning |
Solanki, S.; Srivastav, V.; Bhattacharya, A.; Roy, P.; Laha, S.R.; Kumar, S.; Nayak, D.S.K. |
2025 |
Contributes to SDG 2 through digital agricultural decision-support systems that can improve farm management and productivity. |
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24 |
Genetic control of fruit quality characters in the segregating generations of interspecific crosses and metabolic profiling of the fruits of promising segregants of tomato |
Acharya, B.; Hazra, S.; Gorai, S.; Bose, S.; Hazra, P.; Chattopadhyay, A.; Pal, H.; Maji, A. |
2025 |
Supports SDG 2 by improving fruit quality through genetic selection and supporting production of nutritious food crops. |
|
25 |
Nano-fertiliser and its role in sustainable crop production–A review |
Duary, S.; Biswas, T. |
2025 |
Directly supports sustainable food production through efficient nutrient delivery, improved crop productivity and potentially reduced fertilizer losses. |
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26 |
Analysis of Crop Health for Agricultural Optimization Using Multispectral Images and Machine Learning |
Monroy Gonzalez, D.; Vasquez-Iglesias, P.; Zabala-Blanco, D.; Datta, J.; Firoozabadi, A.D.; Flores-Calero, M. |
2025 |
Supports precision agriculture by using remote sensing and machine learning for crop-health assessment and productivity optimization. |
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27 |
Development and testing of self-propelled type rotary forage harvester |
Mahata, K.S.; Mochary, S.; Roy, S.D.; Mohanta, R. |
2025 |
Supports agricultural mechanization and efficient forage harvesting, contributing to productive and sustainable livestock-feed systems. |
|
28 |
Pangenomics for developing heavy metal stress-tolerant plants |
Sinha, D.; Majgaonkar, A.; Kazi, Z.; Chatterjee, S.; Paul, I.; Paulchoudhury, A.; Das, S. |
2025 |
Supports resilient agriculture by developing plants capable of tolerating heavy-metal stress, helping protect agricultural productivity under contaminated conditions. |
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29 |
Selenium in Sustainable Agriculture: Bridging Food Security and Health for Achieving SDG 2 and SDG 3 |
Sengupta, S.; Hazra, S.; Mukherjee, S.; Mondal, B.; Ghorai, S.; Mukhopadhyay, A.; De, P.; Bose, S.; Majumder, S.; Das, D.; Dey, A.; Roychowdhury, T. |
2025 |
Direct and explicit relevance to SDG 2. Addresses food security and nutritional quality through selenium-based sustainable agriculture, linking food production with improved health. |
|
30 |
The pivotal role of start-up ecosystems in creating a level playing field for Indian women |
Biswas, B.; Saha, R. |
2025 |
Indirect relevance through women's economic empowerment and entrepreneurship, which can contribute to household livelihood security and food security. |
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31 |
Reducing Fertilizer Runoff and Enhancing Crop Yield with Nano-Engineered Nutrients |
Lungu, N.; De, U.C.; Dash, B.B.; Barik, L.; Khan, T.; Patra, S.S. |
2025 |
Directly supports SDG 2 by improving crop yield while reducing fertilizer runoff and promoting environmentally sustainable agricultural production. |
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32 |
A Low-Cost, AI-Assisted Smart Farming Solution for Automated Irrigation and Disease Monitoring |
Bera, D.; Biswas, P.; Chakraborty, B.; Chandra, S.; Chakraborty, S. |
2025 |
Directly contributes to SDG 2 through affordable smart farming, efficient irrigation, disease monitoring and improved crop productivity. |
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33 |
Precision Seeding Robots Revolutionizing Planting Accuracy and Crop Density Control in Row Crops |
Senthilkumar, K.P.; Prabha, K.P.R.; Kolukulapalli, A.; Knowles, S.P.; Kumar, V.; Lavanya, R. |
2025 |
Supports SDG 2 through precision mechanization that improves planting accuracy, crop density and resource-use efficiency. |
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34 |
Optimized Deep Learning Architecture for Maize Disease Detection Using Efficient Channel Attention and Transfer Learning |
Dash, L.; Laha, S.R.; Pattanayak, B.K.; Nayak, D.S.K.; Chakraborty, P.; Sarkar, S. |
2025 |
Directly supports SDG 2 through early and accurate maize disease detection, helping reduce crop losses and improve food-crop productivity. |
| Item | Value |
|---|---|
| Zero hunger: publications | 34 |
