February 1, 2022 | Agricultural Water Management | Introduction: This review, conducted by researchers from the University for Development Studies and Kwame Nkrumah University of Science and Technolog
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April 4, 2025 | Sensors | Introduction: The rapid proliferation of Internet of Things (IoT) technologies in agriculture has generated a large and diverse body of research, yet the field lacks a compre
April 15, 2026 | IJOCTA | Introduction: Real-time irrigation management faces a fundamental challenge: existing frameworks typically use either static optimization models or reactive threshold-based c
February 5, 2025 | Journal of Water and Climate Change | Introduction: Climate change is intensifying water scarcity and disrupting seasonal rainfall patterns, particularly in tropical and smallholder
October 30, 2024 | Smart Agricultural Technology | Introduction: Farmers in the Mediterranean region face competing pressures of water scarcity and the high cost of smart irrigation technology, yet mo
March, 2025 | Smart Agricultural Technology | Introduction: In Bangladesh and many other smallholder farming economies, dependence on diesel pumps and unreliable grid electricity constrains the adopti
December 19, 2024 | Sensors | Introduction: Automated greenhouse systems typically depend on fixed set-point controls that require skilled technicians for configuration and maintenance, limiting scala
March, 2025 | Smart Agricultural Technology | Introduction: Model predictive control (MPC) is a promising approach for greenhouse climate management, but its reliance on accurate prediction models mak
January 17, 2025 | Scientific Reports | Introduction: Greenhouses require stable energy supplies for maintaining optimal environmental conditions, yet their heavy reliance on grid electricity increase
November 20, 2020 | Journal of Cleaner Production | Introduction: Greenhouses account for the largest share of final energy consumption in agriculture, with heating alone consuming 65-85% of total ene
November 07, 2022 | Molecular Plant | Introduction: Climate change and population growth necessitate a transition from traditional phenotypic selection to data-driven "smart breeding". A research tea
October 09, 2025 | Crop Science | Introduction: Traditional plant breeding often prioritizes explanatory models to understand biological mechanisms, which can limit the generalizability of selection
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