Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security

GS Mmbando - Cogent Food & Agriculture, 2025 - Taylor & Francis
Global food security is seriously threatened by climate change, which calls for creative
agricultural solutions. However, little is known about how different smart technologies are …

Synergizing Measurement Science and Artificial Intelligence in Smart Agriculture

F Lamonaca, DL Carnì - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
This paper would provide a comprehensive review of the synergistic integration of
measurement science and artificial intelligence (AI) in the realm of smart agriculture. As …

Data-Driven Soil Analysis and Evaluation for Smart Farming Using Machine Learning Approaches

Y Huang, R Srivastava, C Ngo, J Gao, J Wu, S Chiao - Agriculture, 2023 - mdpi.com
Food shortage issues affect more and more of the population globally as a consequence of
the climate crisis, wars, and the COVID-19 pandemic. Increasing crop output has become …

[PDF][PDF] A Predictive Approach to Improving Agricultural Productivity in Morocco through Crop Recommendations

R Ed-daoudi, A Alaoui, B Ettaki… - International Journal of …, 2023 - academia.edu
Agricultural productivity is a critical component of sustainable economic growth, particularly
in developing countries. Morocco, with its vast agricultural potential, is in need of advanced …

Sustainable Algorithms using Artificial Intelligence and Various Stages for Precision Agricultural Cultivation

VKG Kalaiselvi, J Gopalakrishnan… - 2023 Second …, 2023 - ieeexplore.ieee.org
India, the largest exporter of farm products, faces low agricultural productivity, resulting in
reduced income for farmers. To boost revenue, performance improvement is crucial …

Crop Recommendation Using Machine Learning

AC Ramachandra, GV Ankitha, I Divya… - … Conference on Data …, 2023 - ieeexplore.ieee.org
One of the key economic drivers in India is agriculture. Farmers now cultivate crops using
lessons learned from the previous century. One of the most crucial elements of farm …

Farming Futures: Machine Learning Models for Crop Yield Prediction

MR Kushalatha, BC Shashank… - 2024 Third …, 2024 - ieeexplore.ieee.org
India's economy depends heavily on agriculture, and choosing the right crops is essential to
reducing losses. Crop yield is influenced by factors such as soil conditions and weather …

[DOC][DOC] Agriculture-Related Recent Trends in Machine Learning Applications: A Complete Analysis

M Rathore, P Sharma, RK Chouhan, KK Lavania - iipseries.org
As the world population continues to grow, the agriculture industry faces the daunting task of
producing more food with limited resources and in an environmentally sustainable manner …