Incorporating artificial intelligence technology in smart greenhouses: Current State of the Art

C Maraveas - Applied Sciences, 2022 - mdpi.com
This article presents the current state-of-the-art research on applying artificial intelligence
(AI) technology in smart greenhouses to optimize crop yields, water, and fertilizer use …

Application of bio and nature-inspired algorithms in agricultural engineering

C Maraveas, PG Asteris, KG Arvanitis… - … Methods in Engineering, 2023 - Springer
The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …

Deploying artificial intelligence for climate change adaptation

W Leal Filho, T Wall, SAR Mucova, GJ Nagy… - … Forecasting and Social …, 2022 - Elsevier
Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …

[HTML][HTML] Artificial intelligence applications in the agrifood sectors

I Kutyauripo, M Rushambwa, L Chiwazi - Journal of Agriculture and Food …, 2023 - Elsevier
Food security is one of the priorities of every country in the World. However, different factors
are making it difficult to meet global targets on food security. Some unprecedented shocks …

Swelling prediction of calcium alginate/cellulose nanocrystal hydrogels using response surface methodology and artificial neural network

S Soleimani, A Heydari, M Fattahi - Industrial Crops and Products, 2023 - Elsevier
The calcium alginate (CA) hydrogels of the raw and reinforced with cellulose nanocrystals
(CNC) were synthesized using the ion-exchange method. FT-IR, FESEM, EDX, XRD, and …

[HTML][HTML] How artificial intelligence uses to achieve the agriculture sustainability: Systematic review

V Sachithra, L Subhashini - Artificial Intelligence in Agriculture, 2023 - Elsevier
The generation of food production that meets the rising demand for food and ecosystem
security is a big challenge. With the development of Artificial Intelligence (AI) models, there …

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

MRB Júnior, BR de Almeida Moreira… - … and Electronics in …, 2024 - Elsevier
Precision agriculture has emerged as a dominant force in the United States, with
widespread adoption of advanced technologies and decision support systems (DSS) since …

[HTML][HTML] Modelling reference evapotranspiration using gene expression programming and artificial neural network at Pantnagar, India

P Heramb, PK Singh, KVR Rao, A Subeesh - Information processing in …, 2023 - Elsevier
Evapotranspiration is an essential component of the hydrological cycle that is of particular
interest for water resource planning. Its quantification is helpful in irrigation scheduling …

Drone-based photogrammetry for riverbed characteristics extraction and flood discharge modeling in Taiwan's mountainous rivers

L Liu - Measurement, 2023 - Elsevier
Flooding is a natural hazard that poses considerable risks to the mountainous regions of
Taiwan. Accurate flood modeling can be used for flood prevention, but it requires detailed …

Integrate deep learning and physically-based models for multi-step-ahead microclimate forecasting

PY Kow, MH Lee, W Sun, MH Yao, FJ Chang - Expert Systems with …, 2022 - Elsevier
Precision agriculture control systems count on reliable and accurate microclimate forecasts
to maintain environmental suitability for crop growth. However, IoT devices adopted to …