A5111123930- Agricultural pest management studies
- Artificial Intelligence in Healthcare and Education
- Genetic and Environmental Crop Studies
- Genetics and Plant Breeding
- Blockchain Technology Applications and Security
- Agricultural Science and Fertilization
- Plant Genetic and Mutation Studies
- Ethics and Social Impacts of AI
- Impact of AI and Big Data on Business and Society
- Big Data and Business Intelligence
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Hydrological Forecasting Using AI
- COVID-19 diagnosis using AI
- AI in Service Interactions
- Agricultural Economics and Practices
- Wheat and Barley Genetics and Pathology
- Flood Risk Assessment and Management
- Rice Cultivation and Yield Improvement
- Explainable Artificial Intelligence (XAI)
- Research in Cotton Cultivation
- Brain Tumor Detection and Classification
- Adversarial Robustness in Machine Learning
- Smart Agriculture and AI
- Educational and Technological Research
Bharati Vidyapeeth Deemed University
2024
G.S. Science, Arts And Commerce College
2023
Marathwada Agricultural University
2017-2020
Mahatma Phule Krishi Vidyapeeth
2003
Plant disease detection and early treatment are essential for sustainable crop production. Computer vision science is overgrowing with the advancement in deep learning. Real time plant poses a challenge due to unpredictable spread of diseases within plant, environmental factors, scarcity real field datasets. The proposed work systematically addresses these issues through three key components: (a) Collaboratively generating novel pigeon pea image dataset from agricultural fields, partnership...
ChatGPT and other generative AI technologies have transformed the art, music, literature sectors, creating new creative opportunities complex ethical issues. AI-driven tools are democratizing art production by digital artworks, visual styles, helping artists conceptualize ideas. Using models in composition, lyric writing, sound design, musicians can now experiment with genres, sounds. AI-generated poetry, storytelling, editorial aid literature, authors overcome obstacles simplify content...
Financial risk assessment and fraud detection are being transformed by artificial intelligence (AI), which improves efficiency accuracy. AI-driven systems can process massive amounts of financial data in real time using advanced machine learning (ML) algorithms big analytics to identify patterns anomalies that indicate risks or fraud. Predictive models analyze spending behavior, transaction history, social data, improving credit assessments. Thus, institutions make better lending decisions,...
The rapid development of artificial intelligence (AI) in healthcare offers unprecedented opportunities but also significant challenges and ethical issues. Machine learning, deep natural language processing are being integrated into systems to improve diagnostics, personalized treatment plans, predictive analytics, robotic-assisted surgery. AI can process large datasets faster more accurately than humans, which has great potential clinical decision-making patient outcomes. AI-driven radiology...
AI is transforming supply chain management, especially in improving operations through better demand forecasting and cost reduction. This study examines how will redefine strategy by incorporating advanced machine learning models data analytics to improve accuracy efficiency. has improved evaluating massive volumes of historical real-time inputs. These systems use predictive find patterns trends, helping firms predict demand. feature reduces overstock understock, lowering inventory costs...
Generative AI is transforming marketing and advertising by providing unprecedented personalization consumer engagement. Advanced models such as ChatGPT, DALL•E, MidJourney enable marketers to tailor content particular interests, fostering emotional bonds brand loyalty. These AI-driven technologies use massive datasets machine learning algorithms forecast behavior, create targeted campaigns, truly human content, bridging the gap between brands their target consumers. Generational analyzes...
Human-artificial intelligence (AI) collaboration is revolutionizing the workplace by increasing productivity and changing job responsibilities. This study examines how people AI work together to boost efficiency, creativity, innovation across industries. Employees can focus on strategic decision-making, problem-solving, interpersonal interactions while handles monotonous data-intensive activities. transition positions, requiring a dynamic mix of technical soft abilities. New technologies...
Rapid AI use across industries has transformed operations, boosting efficiency, innovation, and competitiveness. However, its expansion raised important ethical issues. Bias, privacy, accountability are major obstacles to responsible industrial use. Skewed datasets or algorithmic design errors in systems promote discrimination, reinforcing inequities hiring, lending, healthcare. fairness solutions have improved, but bias mitigation dynamic, real-world contexts is still difficult. As massive...
AI in cybersecurity is a disruptive method to addressing the growing sophistication of cyber threats digital age. AI-driven technologies like machine learning (ML) and data analytics may improve threat detection prevention, according this study. Modern attack vectors including zero-day vulnerabilities, APTs, ransomware challenge traditional measures. Adaptive models predictive provide proactive real-time mitigation with AI. When taught on massive datasets historical data, algorithms can find...
Fraud detection, risk management, and algorithmic trading optimization are being revolutionized by AI in financial services. reduces false positives speeds up fraud detection spotting trends anomalies real time using advanced machine learning techniques. Financial institutions can now fight sophisticated cyber attacks with AI-powered systems that analyze massive databases detect illicit conduct unparalleled accuracy. predictive analytics changing how organizations identify mitigate risks....
Society 5.0 vision aims to harmonize the physical and digital realms improve human well-being through advanced technology AI. AI can automate, provide data-driven insights, decision-making, but it also raises ethical issues. Privacy risks, bias in algorithms, agency loss damage trust social cohesion. The widespread use of requires a reassessment data governance models prioritize transparency, accountability, security protect individual rights. Ethical frameworks for design, deployment,...
Multimodal AI, which integrates text, image, and audio processing, is redefining applications across industries by providing holistic solutions to complex problems. This paper examines how data convergence allows AI models provide more contextually relevant insights streamlined functionality, improving healthcare, retail, manufacturing, entertainment outcomes. Industries can improve predictive maintenance, personalized customer engagement, adaptive content creation with large-scale...
Pigeonpea is one of the important pulse crops grown in many states India and plays a major role sustainable food nutritional security for smallholder farmers. In order to overcome productivity barrier Translational Genomics Consortium (TPGC) was established, representing research institutes from six different (Andhra Pradesh, Karnataka, Madhya Maharashtra, Telangana, Uttar Pradesh) India. To enhance pigeonpea production team has been engaged deploying modern genomics approaches breeding...
Pigeonpea [ Cajanus cajan (L.) Millspaugh] is a widely grown pulse with high seed protein content that contributes to food and nutritional security in the Indian subcontinent. The majority of pigeonpea varieties cultivated India are medium duration (<180 days maturity), which makes it essential for breeders focus on development stable high-yielding varieties. diverse agroecological regime subcontinent necessitates an efficient multi-environment study by taking into consideration...
Background: Seventy breeding lines of mung bean were evaluated for 20 different characters and mean values worked genetic diversity by Mahalanobis D2 statistic. Methods: The experiments included 70 which collected from Plant Breeding Unit, Agricultural Research Station, Badnapur. They grown during Kharif 2016 at experimental research farm Badnapur Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani. data recorded on 10 randomly selected plants. statistical analysis done statistics.Result:...
Five lines were crossed with four testers in Line × Tester fashion to estimate the combining ability for yield and attributing traits greengram. Analysis of variance revealed significant differences among genotypes, crosses, lines, line tester interactions most traits. Preponderance non-additive gene effects was realized from higher values specific compared general ratio variances SCA GCA except day maturity. Parents’ viz., IPM 2-3, ML 1299, 2037 considered as superior parents they recorded...