[HTML][HTML] Towards sustainable agriculture: Harnessing AI for global food security

DK Pandey, R Mishra - Artificial Intelligence in Agriculture, 2024 - Elsevier
The issue of food security continues to be a prominent global concern, affecting a significant
number of individuals who experience the adverse effects of hunger and malnutrition. The …

Modern-age agriculture with artificial intelligence: A review emphasizing crop yield prediction

P Sharma, P Dadheech - 2023 - catalog.lib.kyushu-u.ac.jp
Agriculture is a key employment in several countries throughout the globe. AI is increasingly
becoming a part of agriculture industry as traditional methods are insufficient to supply the …

Machine learning-based stock market forecasting using recurrent neural network

P Sharma, C Sharma, P Mathur - 2023 9th International …, 2023 - ieeexplore.ieee.org
In today's world where trading became very common. Observing the trends and stock market
predictions has become more and more popular. Forecasting the future value of a …

Stock market trends analysis using extreme gradient boosting (XGBoost)

P Sharma, MK Jain - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The stock market is an option for investment and trading. The market volatility and a wide
range of other dependent and independent elements that affect the market value of a …

Prediksi Hasil Panen Tanaman Pangan Sumatera dengan Metode Machine Learning

BA Putra, H Mukhtar, Y Ramanda… - Journal of Software …, 2025 - ejurnal.umri.ac.id
Dalam konteks pertanian modern, akurasi prediksi hasil panen merupakan aspek penting
untuk perencanaan dan pengelolaan sumber daya. Penelitian ini bertujuan untuk …

A Study on Largescale Applications of Big Data in Modern Era

D Kapadiya, C Shekhawat, P Sharma - Proceedings of the 5th …, 2023 - dl.acm.org
Big data has brought a profound revolution across industries, redefining data management
and decision-making paradigms. The utilization of vast and diverse datasets enables …

Algorithmic issues, challenges, and theoretical concerns of ChatGPT

P Patil, K Kulkarni, P Sharma - Applications, challenges, and the …, 2024 - igi-global.com
Large language model (LLM) ChatGPT has made tremendous progress in natural language
processing (NLP), especially in human-quality text production, multilingual translation, and …

[HTML][HTML] Optimizing agricultural data analysis techniques through ai-powered decision-making processes

E Elbasi, N Mostafa, C Zaki, Z AlArnaout, AE Topcu… - Applied Sciences, 2024 - mdpi.com
The agricultural sector is undergoing a transformative paradigm shift with the integration of
advanced technologies, particularly artificial intelligence (AI), to enhance data analysis …

[HTML][HTML] Crop Yield Prediction Using Machine Learning: An Extensive and Systematic Literature Review

SM Shawon, FB Ema, AK Mahi, FL Niha… - Smart Agricultural …, 2024 - Elsevier
Recently, agriculture has gained much attention regarding forecasting and prediction with
the advancement of artificial intelligence techniques. Advancements in Machine Learning …

The impact of weather patterns on inter-annual crop yield variability

C Knight, A Khouakhi, TW Waine - Science of the Total Environment, 2024 - Elsevier
Inter-annual variations in crop production have significant implications for global food
security, economic stability, and environmental sustainability. Existing crop yield prediction …