[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 …
precision agriculture, focusing on optimizing farm operations through real-time data …
[PDF][PDF] Unmanned aerial vehicle-based applications in smart farming: A systematic review
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 …
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
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 …
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
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 …
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
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 …
production and resource management remains a significant challenge for farmers. This …
An approach for crop prediction in agriculture: Integrating genetic algorithms and machine learning
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 …
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 …
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 …
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 …
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
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 …
varying soil nutrient levels, and climatic fluctuations to suggest appropriate crops or …