Exploring the evolving landscape: Urban horticulture cropping systems–trends and challenges

MAN Sashika, HW Gammanpila, S Priyadarshani - Scientia Horticulturae, 2024 - Elsevier
Urban horticulture cropping systems offer a promising solution for food security and
sustainable agriculture in rapidly urbanizing areas. This paper explores their evolving …

An overview of machine learning applications on plant phenotyping, with a focus on sunflower

L Centorame, T Gasperini, A Ilari, A Del Gatto… - Agronomy, 2024 - mdpi.com
Machine learning is a widespread technology that plays a crucial role in digitalisation and
aims to explore rules and patterns in large datasets to autonomously solve non-linear …

Employing ensemble machine learning techniques for predicting the thermohydraulic performance of double pipe heat exchanger with and without turbulators

S Sammil, M Sridharan - Thermal Science and Engineering Progress, 2024 - Elsevier
In this study, advanced machine learning techniques were utilized to forecast the
thermohydraulic performance of a double pipe heat exchanger (DPHE). Key variables …

Analysis of crop prediction models using data analytics and ML techniques: a review

SD Shingade, RP Mudhalwadkar - Multimedia Tools and Applications, 2024 - Springer
One of the essential fields contributing to a nation's development is Agriculture. An efficient
recommendation of crops is essential for strategic plan determination in the agricultural …

[HTML][HTML] Towards sustainable agriculture: Harnessing AI for global food security

DK Pandey, R Mishra - Artificial Intelligence in Agriculture, 2024 - Elsevier
The issue of food security continues to be a prominent global concern, affecting a significant
number of individuals who experience the adverse effects of hunger and malnutrition. The …

[HTML][HTML] A Systematic Review of Fourth Industrial Revolution Technologies in Smart Irrigation: Constraints, Opportunities, and Future Prospects for sub-Saharan Africa

J Wanyama, E Bwambale, S Kiraga, A Katimbo… - Smart Agricultural …, 2024 - Elsevier
Abstract The adoption of Fourth Industrial Revolution (4IR) technologies has revolutionized
agricultural practices worldwide. However, their application in the context of sub-Saharan …

Imagining AI-driven decision making for managing farming in developing and emerging economies

U Chukwuma, KG Gebremedhin, DD Uyeh - Computers and Electronics in …, 2024 - Elsevier
Agriculture is the backbone of numerous developing and emerging economies, supporting
millions of livelihoods and playing a crucial role. The transformative integration of AI-driven …

Agricultural land suitability classification and crop suggestion using machine learning and spatial multicriteria decision analysis in semi-arid ecosystem

N Agrawal, H Govil, T Kumar - Environment, Development and …, 2024 - Springer
Agricultural land evaluation for crop cultivation plays a vital role in developing a sustainable
and productive agricultural system. The traditional way of manual land evaluation is time …

Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges

K Meghraoui, I Sebari, J Pilz, K Ait El Kadi, S Bensiali - Technologies, 2024 - mdpi.com
Agriculture is essential for global income, poverty reduction, and food security, with crop
yield being a crucial measure in this field. Traditional crop yield prediction methods, reliant …

Amelioration in nanobiosensors for the control of plant diseases: current status and future challenges

V Virk, H Deepak, K Taneja, R Srivastava… - Frontiers in …, 2024 - frontiersin.org
The increase in global population has had a tremendous impact on sustainable agri-food
practices. With the growth in world population, various modern technologies are being …