Greenhouse micro-climate prediction based on fixed sensor placements: A machine learning approach
Accurate measurement of micro-climates that include temperature and relative humidity is
the bedrock of the control and management of plant life in protected cultivation systems …
the bedrock of the control and management of plant life in protected cultivation systems …
Optimization of indoor temperature sensor deployment in large spaces for multiple building operation scenarios using the genetic algorithm
Abstract Indoor Environmental Quality (IEQ) monitoring is significant for occupant comfort
and system operation. Due to the complicated nature of the indoor environment, large …
and system operation. Due to the complicated nature of the indoor environment, large …
Hybrid CNN-SVM Classifier Approaches to Process Semi-Structured Data in Sugarcane Yield Forecasting Production
Information communication technology (ICT) breakthroughs have boosted global social and
economic progress. Most rural Indians rely on agriculture for income. The growing …
economic progress. Most rural Indians rely on agriculture for income. The growing …
A genetic programming-based optimal sensor placement for greenhouse monitoring and control
Optimal sensor location methods are crucial to realize a sensor profile that achieves pre-
defined performance criteria as well as minimum cost. In recent times, indoor cultivation …
defined performance criteria as well as minimum cost. In recent times, indoor cultivation …
State-of-health estimation and thermal runaway gases adsorption correction for lithium-ion batteries: A DFT study
J Wang, Z Chen, P Wang, Y Zhang, L Yang… - Colloids and Surfaces A …, 2025 - Elsevier
The thermal runaway failure of lithium-ion batteries will release lots of pollutant gases
(mainly H 2, CO, and CO 2), which will lead to serious safety accidents and economic loss …
(mainly H 2, CO, and CO 2), which will lead to serious safety accidents and economic loss …
Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement
Reliable prediction of photovoltaic power generation is key to the efficient management of
energy systems in response to the inherent uncertainty of renewable energy sources …
energy systems in response to the inherent uncertainty of renewable energy sources …
[PDF][PDF] Machine Learning for a Better Agriculture Calendar
PF Faye, JA Faye, M Senghor - Proceedings of the 19th International …, 2024 - scitepress.org
In Senegal, agriculture is subsistence, low-input, and significantly less mechanized than
many other nations in Africa, and is also highly dependent on soil, climate, and water. Food …
many other nations in Africa, and is also highly dependent on soil, climate, and water. Food …
Perancangan dan Implementasi Sistem Smart Air Conditioner Berbasis IoT di Gedung Kampus Dharma Wacana untuk Optimalisasi Energi
Sistem pendingin udara (AC) konvensional yang digunakan di Gedung Kampus Dharma
Wacana menyebabkan biaya operasional yang tinggi. Dengan demikian, studi ini bertujuan …
Wacana menyebabkan biaya operasional yang tinggi. Dengan demikian, studi ini bertujuan …
Ensemble Approach for Optimal Sensor Placement in an Automated Greenhouse
Abstract Controlled Environment Agriculture (CEA) aims to create the perfect growing
conditions for plants by closely managing the microclimate, which differs from traditional …
conditions for plants by closely managing the microclimate, which differs from traditional …
[PDF][PDF] Water Optimization in Digital Farming
PF Faye, JAA Faye, M Senghor - scitepress.org
In Senegal, agriculture is subsistence and highly dependent on soil, climate, and raining
season. Food crops take up to 46% of the total land and make up 15% of the Gross …
season. Food crops take up to 46% of the total land and make up 15% of the Gross …