Gene editing in agriculture is a powerful technology that allows scientists to make precise changes to a plant’s DNA. Unlike traditional breeding—
UMA Gelar Teknis Pelaksanaan DIYA 2025–2026: Dorong Riset dan Hilirisasi
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Medan, 3 November 2025 — Universitas Medan Area (UMA) melalui Biro Publikasi, Jurnal Ilmiah dan Informasi Digital (BPJIID) kembali melaksanakan kegi
Genetic Diversity in Crops: Sustainable and Resilient Agriculture
Posted on by Fachrur Rozi
Genetic diversity in crops refers to the range of genetic differences within and between plant species. This diversity determines how crops grow, resi
Plant Mutation Types: Sources of Genetic Variation in Crops
Posted on by Fachrur Rozi
Mutations in plants are changes in the DNA sequence that create new traits or variations. Although the word “mutation” often sounds negative, in p
Inherited Plant Traits: How Characteristics Pass From One Generation to the Next
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Inherited plant traits are characteristics that are passed from parent plants to their offspring through genetic material. These traits determine how
Gene Function: How Genes Control Growth, Traits, and Survival
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Every visible trait in a plant—whether it is leaf shape, flower color, or drought tolerance—comes from the way its genes work. Gene function in pl
Plant DNA Structure: The Foundation of All Plant Traits
Posted on by Fachrur Rozi
Plant DNA structure is the fundamental blueprint that determines how a plant grows, behaves, and adapts to its environment. From leaf shape to disease
Energy-Efficient AI for Autonomous Vehicles: Driving Sustainability
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Autonomous vehicles (AVs) rely heavily on artificial intelligence (AI) to perceive their environment, make decisions, and execute control actions in r
Machine Learning for Smart Grid Optimization: Efficiency and Sustainability
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Smart grids are modernized electrical grids that use digital communication and advanced technologies to monitor, control, and optimize the flow of ele
Energy-Aware AutoML: Balancing Accuracy and Sustainability
Posted on by Fachrur Rozi
Automated Machine Learning (AutoML) has transformed the way machine learning models are designed, making it easier to generate high-performing models
