[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 …
Machine Learning‐Based Approaches for Improving Healthcare Services and Quality of Life (QoL) Opportunities, Issues and Challenges
P Rahi, R Bajaj, SP Sood… - … Predictive Models in …, 2024 - Wiley Online Library
Machine learning and artificial intelligence can change the traditional treatment style to the
technology‐linked quality of healthcare. The professionals of the health sector and their …
technology‐linked quality of healthcare. The professionals of the health sector and their …
Machine Learning-Based Approach for Hand Gesture Recognition
Computer vision and Machine Learning are used to comprehend and extract information
from photos and videos. This paper examines how computer vision and machine learning …
from photos and videos. This paper examines how computer vision and machine learning …
Issues in Healthcare and the Role of Machine Learning in Healthcare
N Chauhan, N Kaur, KS Saini… - … Predictive Models in …, 2024 - Wiley Online Library
The healthcare industry is one of the world's most significant and rapidly growing sectors. As
a result, healthcare administration is transitioning from conventional methods to digital ones …
a result, healthcare administration is transitioning from conventional methods to digital ones …
Optimized Ensembled Model to Predict Diabetes Using Machine Learning
Being one of the earth's fastest illnesses, diabetes can cause various serious side effects,
including neurotoxicity, diabetes retina, heart problems, and organ disease, which raise the …
including neurotoxicity, diabetes retina, heart problems, and organ disease, which raise the …
Innovative Approaches to Agricultural Risk with Machine Learning.
SM Priya - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
Agriculture is fraught with uncertainties arising from factors like weather volatility, pest
outbreaks, market fluctuations, and technological advancements, posing significant …
outbreaks, market fluctuations, and technological advancements, posing significant …
NLP‐Based Speech Analysis Using K‐Neighbor Classifier
Natural language programming (NLP) is a significant region of computerized reasoning
examination related to the operation and communication of various artificial intelligence (AI) …
examination related to the operation and communication of various artificial intelligence (AI) …
[PDF][PDF] Artificial Intelligence in Agriculture
DK Pandey, R Mishra - 2024 - researchgate.net
Towards sustainable agriculture: Harnessing AI for global food security Page 1 Towards
sustainable agriculture: Harnessing AI for global food security Dhananjay K. Pandeya,⁎, Richa …
sustainable agriculture: Harnessing AI for global food security Dhananjay K. Pandeya,⁎, Richa …
Role of Dialog and Explicit AI for Building Trust in Human-Robot Interaction
Robots and people can communicate similarly. Human-robot contact therefore has
increasingly assimilated into society. Meanwhile, technology is continually being improved …
increasingly assimilated into society. Meanwhile, technology is continually being improved …
Demand Prediction of Agricultural Crops using Artificial Intelligence
R Selvaraj, M Sanmati, K Sudharshan… - … on Automation and …, 2024 - ieeexplore.ieee.org
India's Gross Domestic Product (GDP) greatly depends on agriculture. The major risk in the
agriculture field, now-a-days is price volatility. The constant fluctuation in price on daily basis …
agriculture field, now-a-days is price volatility. The constant fluctuation in price on daily basis …