A Review of Model Predictive Control in Precision Agriculture DOI Creative Commons
Erion Bwambale, Joshua Wanyama, Thomas Apusiga Adongo

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: unknown, P. 100716 - 100716

Published: Dec. 1, 2024

Language: Английский

Smart Farming and Orchard Management: Insights and Innovations DOI
Diaa O. El-Ansary

Current Food Science and Technology Reports, Journal Year: 2025, Volume and Issue: 3(1)

Published: Feb. 12, 2025

Language: Английский

Citations

0
Development of a Software and Hardware Complex for Monitoring Processes in Production Systems DOI Creative Commons
V. A. Pechenin, Rustam Paringer, N. V. Ruzanov

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1527 - 1527

Published: Feb. 28, 2025

The article presents a detailed exposition of hardware–software complex that has been developed for the purpose enhancing productivity accounting state production process. This facilitates automation identification parts in containers and utilisation supplementary markers. comprises mini computer (system unit industrial version) with connected cameras (IP or WEB), communication module LED signal lamps, software. cascade algorithm detection labels objects employs trained convolutional neural networks (YOLO VGG19), thereby recognition accuracy while concurrently reducing size training sample networks. efficacy system was assessed through laboratory experimentation, which yielded experimental results demonstrating 93% detail using algorithm, comparison to 72% achieved traditional approach employing single network.

Language: Английский

Citations

0
The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of Geranium psilostemon Ledeb DOI Creative Commons
Gülcay ERCAN OĞUZTÜRK, Caner Murat,

Meryem Yurtseven

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(5), P. 770 - 770

Published: March 3, 2025

This study investigates the effects of an AI-supported irrigation system on production natural plant species and efficiency at Rize Recep Tayyip Erdoğan University. To enhance water resource while utilizing Turkey’s rich diversity, Geranium psilostemon Ledeb. (Black-Eyed Crane’s-Bill) was selected for cultivation. The research includes adaptation trials growth monitoring this perennial taxon, which naturally grows altitude 2000 m. experiments were conducted in two different environments: one other relying manual irrigation. findings reveal that systems optimize strategies, providing a more efficient effective cultivation process compared to continuously monitors air soil moisture levels, ensuring optimal conditions instant seasonal variations. innovative approach minimizes losses preventing salinization, thereby offering significant solution sustainable agricultural practices. In conclusion, demonstrates can be effectively cultivated using these hold great potential conservation ecological balance. These present crucial step toward developing solutions global challenges promoting landscape

Language: Английский

Citations

0
Comprehensive analysis of methods for estimating actual paddy evapotranspiration—A review DOI Creative Commons

Kiran Bala Behura,

S. K. Raul,

Jagadish Chandra Paul

et al.

Frontiers in Water, Journal Year: 2025, Volume and Issue: 7

Published: March 4, 2025

Evapotranspiration (ET) has considerable significance in the water cycle, especially farming areas where it determines crop needs, irrigation plans, and sustainable management of resources. This study stresses need for accurate ET estimation paddy fields rice is grown because its high-water sensitivity consumption which implications use efficiency food security. The attempts to address problem by estimating ET: Standard procedures such as Penman–Monteith equation, lysimeters, even remote sensing Surface Energy Balance Algorithm Land (SEBAL) Mapping at High Resolution with Internalized Calibration (METRIC) are all investigated. Furthermore, an attempt made combine data machine learning techniques refined estimation. Utilizing modernized technologies hybrid models, research investigation aims deepen understanding variability cropping systems promote improved resources agriculture practices future work suggest application vegetation indices incorporating high-resolution multi-spectral imagery accurately estimate appropriately differentiate between evaporation transpiration these complex agricultural systems.

Language: Английский

Citations

0
Developments, Applications, and Innovations in Agricultural Sciences and Biotechnologies DOI Creative Commons
Anzhen Qin,

Dongfeng Ning

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4381 - 4381

Published: April 16, 2025

The global population is projected to reach approximately 10 billion by 2050, and the demand for food expected increase 60–70% [...]

Language: Английский

Citations

0
AI-Driven Irrigation Systems for Sustainable Water Management: A Systematic Review and Meta-Analytical Insights DOI Creative Commons
Gülcay ERCAN OĞUZTÜRK

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100982 - 100982

Published: May 1, 2025

Language: Английский

Citations

0
A Review of Model Predictive Control in Precision Agriculture DOI Creative Commons
Erion Bwambale, Joshua Wanyama, Thomas Apusiga Adongo

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: unknown, P. 100716 - 100716

Published: Dec. 1, 2024

Language: Английский

Citations

0