Results 181 to 190 of about 88,156 (271)

Smart Irrigation System

International Journal of Engineering Research and, 2017
openaire   +1 more source

Compact Tubular Dielectric Elastomer Pump for Indoor Plants

Journal of Applied Polymer Science, Volume 143, Issue 25, July 5, 2026.
This study develops a mountable rolled dielectric elastomer pump (MRDEP) using silicone films and MWCNT‐based electrodes. The MRDEP is completely soft, silent in operation, and easily mounted on a piping system. We use dry stacking methods, fabricate a multilayer dielectric elastomer actuator (DEA), and a pre‐straining process in one direction before ...
Ardi Wiranata, Yuya Yamaguchi, Yu Kuwajima, Yuma Furuhashi, Hiroshi Fukui, Naoki Hosoya, Shingo Maeda   +6 more
wiley   +1 more source

3N Agriculture: Growing the greenest tomorrow

Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.
Abstract The global food system must confront the intertwined challenges of feeding a growing population, reversing environmental degradation, and improving nutrition. While past agricultural innovations improved yields, they often undermined sustainability and food quality. In response, we propose the 3N Agriculture framework—Net‐Zero, Nature‐Positive,
Damien J. Field, Budiman Minasny, Alexander B. McBratney   +2 more
wiley   +1 more source

Automated smart drip irrigation system in internet of things using adaptive residual hybrid network for precision farming. [PDF]

Sci Rep
Ahmad AYAB, Alzubi JA, K C, Urooj S, Shahzad M, J Y.   +5 more
europepmc   +1 more source

Physicochemical Properties and Biological Conditions of Labeobarbus spp. in Gumaro River, Lake Tana Sub‐Basin, Ethiopia

Aquaculture, Fish and Fisheries, Volume 6, Issue 3, June 2026.
This study examines the physicochemical characteristics and biological status of endemic Labeobarbus spp. in the Gumaro River, Ethiopia. Seasonal changes strongly affect water quality, with nutrient concentrations peaking during the rainy season. Biological indicators show species‐specific growth patterns and identify the river as an important spawning
Gizachew Teshome, Abebe Getahun, Seyoum Mengistou, Minwyelet Mingist, Biniam Hailu, Dagnew Mequnent   +5 more
wiley   +1 more source

Water-Efficient Smart Drip Irrigation Enabled by a Low-Power and High-Efficiency Flexible Electromagnetic Actuator. [PDF]

Adv Sci (Weinh)
Chen D, Zhu X, Zhang M, Li K, Zhang Q, Li Y, Hou C, Wang H.   +7 more
europepmc   +1 more source

Effect of sowing date and genotype on pearl millet yield across semi‐arid regions of Sub‐Saharan Africa

Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract In climate change–vulnerable, food‐insecure semi‐arid regions of Sub‐Saharan Africa, limited studies compared the performance of pearl millet [Pennisetum glaucum (L.)] landraces and improved genotypes under staggered sowing to establish their interactions, resulting in a generalization that landraces are lower yielding than their improved ...
Simon K. Awala, Johanna N. Niipele, Kudakwashe Hove, Cecil Togarepi, Benisiu Thomas, Timothy Dube, Osmund D. Mwandemele   +6 more
wiley   +1 more source

Retraction: The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Decision‐making factors for variable rate application of seed and fertilizer in precision agriculture systems: A review

Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract Input management practices within precision agriculture systems have enabled grain and oilseed producers to apply agricultural inputs variably, facilitating resource, yield, and profit optimization. Despite significant progress in variable rate technologies, research comparing different methodologies and comprehensive guidelines to assist ...
Karen Joané Truter, Marion Delport, Ferdinand Meyer, Pieter Andreas Swanepoel   +3 more
wiley   +1 more source

AI-enabled smart farming framework for sustainable date palm cultivation in arid regions using machine learning and IoT integration. [PDF]

Sci Rep
Qwaid MA, Sarker MT, Shawon SM, Zubair HT.   +3 more
europepmc   +1 more source