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[HTML][HTML] Towards sustainable agriculture: Harnessing AI for global food security
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 …
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 …
becoming a part of agriculture industry as traditional methods are insufficient to supply the …
Machine learning-based stock market forecasting using recurrent neural network
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 …
predictions has become more and more popular. Forecasting the future value of a …
Stock market trends analysis using extreme gradient boosting (XGBoost)
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 …
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 …
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 …
and decision-making paradigms. The utilization of vast and diverse datasets enables …
Algorithmic issues, challenges, and theoretical concerns of ChatGPT
Large language model (LLM) ChatGPT has made tremendous progress in natural language
processing (NLP), especially in human-quality text production, multilingual translation, and …
processing (NLP), especially in human-quality text production, multilingual translation, and …
[HTML][HTML] Optimizing agricultural data analysis techniques through ai-powered decision-making processes
The agricultural sector is undergoing a transformative paradigm shift with the integration of
advanced technologies, particularly artificial intelligence (AI), to enhance data analysis …
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 advancement of artificial intelligence techniques. Advancements in Machine Learning …
The impact of weather patterns on inter-annual crop yield variability
Inter-annual variations in crop production have significant implications for global food
security, economic stability, and environmental sustainability. Existing crop yield prediction …
security, economic stability, and environmental sustainability. Existing crop yield prediction …