[PDF][PDF] Adaptive AI in precision agriculture: a review: investigating the use of self-learning algorithms in optimizing farm operations based on real-time data

OB Akintuyi - Research Journal of Multidisciplinary …, 2024 - pdfs.semanticscholar.org
This study investigates the transformative impact of adaptive Artificial Intelligence (AI) on
precision agriculture, focusing on optimizing farm operations through real-time data …

[PDF][PDF] Unmanned aerial vehicle-based applications in smart farming: A systematic review

M Lachgar, H Hrimech, A Kartit - International Journal of …, 2023 - researchgate.net
On one hand, the emergence of cutting-edge technologies like AI, Cloud Computing, and
IoT holds immense potential in Smart Farming and Precision Agriculture. These …

[HTML][HTML] A decision support system for crop recommendation using machine learning classification algorithms

MK Senapaty, A Ray, N Padhy - Agriculture, 2024 - mdpi.com
Today, crop suggestions and necessary guidance have become a regular need for a farmer.
Farmers generally depend on their local agriculture officers regarding this, and it may be …

Towards making the fields talks: A real-time cloud enabled iot crop management platform for smart agriculture

NN Thilakarathne, MSA Bakar, PE Abas… - Frontiers in Plant …, 2023 - frontiersin.org
Agriculture is the primary and oldest industry in the world and has been transformed over the
centuries from the prehistoric era to the technology-driven 21st century, where people are …

[HTML][HTML] Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation

MR Islam, K Oliullah, MM Kabir, M Alom… - Journal of Agriculture and …, 2023 - Elsevier
Agriculture plays a vital role in feeding the growing global population. But optimizing crop
production and resource management remains a significant challenge for farmers. This …

An approach for crop prediction in agriculture: Integrating genetic algorithms and machine learning

T Mahmud, N Datta, R Chakma, UK Das, MT Aziz… - IEEE …, 2024 - ieeexplore.ieee.org
Objectives: The agricultural sector in many South Asian countries, including Bangladesh
and India, plays a pivotal role in the economy, with a significant portion of the population …

Computer vision and machine learning for smart farming and agriculture practices

K Kalinaki, W Shafik, TJL Gutu… - Artificial intelligence tools …, 2023 - igi-global.com
The advent of cutting-edge techniques such as Computer Vision (CV) and Artificial
Intelligence (AI) have sparked a revolution in the agricultural industry, with applications …

Recommender systems for sustainability: overview and research issues

A Felfernig, M Wundara, TNT Tran… - Frontiers in big …, 2023 - frontiersin.org
Sustainability development goals (SDGs) are regarded as a universal call to action with the
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …

Predicting environmental impacts of smallholder wheat production by coupling life cycle assessment and machine learning

C Yu, G Xu, M Cai, Y Li, L Wang, Y Zhang… - Science of the Total …, 2024 - Elsevier
Wheat grain production is a vital component of the food supply produced by smallholder
farms but faces significant threats from climate change. This study evaluated eight …

[HTML][HTML] Machine learning based recommendation of agricultural and horticultural crop farming in India under the regime of NPK, soil pH and three climatic variables

B Dey, J Ferdous, R Ahmed - Heliyon, 2024 - cell.com
Abstract Machine learning (ML) can make use of agricultural data related to crop yield under
varying soil nutrient levels, and climatic fluctuations to suggest appropriate crops or …