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2026 Vol.2 No.1

Automatic Identification of Aceh Cattle Using an Image-Based Computer Vision Approach for Smart Livestock Management
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Automatic Identification of Aceh Cattle Using an Image-Based Computer Vision Approach for Smart Livestock Management

The identification of cattle breeds is an important aspect of livestock management, particularly for maintaining genetic resources and supporting breeding programs of local cattle. In Indonesia, Aceh cattle represent one of the important indigenous breeds whose identification is commonly conducted through manual observation based on physical characteristics. However, conventional identification...

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Precision and Smart Agriculture: Harnessing IoT for Enhanced Productivity and Sustainability
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Precision and Smart Agriculture: Harnessing IoT for Enhanced Productivity and Sustainability

Smart agriculture, driven by the Internet of Things (IoT), has emerged as a transformative approach to enhancing agricultural productivity, resource efficiency, and environmental sustainability. This study provides a comprehensive and integrative review of IoT-based precision agriculture systems, focusing on their technical architecture, performance outcomes, and practical implementation feasib...

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Automated Irrigation Driven Hydroponic Fodder Production in Rainfed Agro-Ecosystems
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Automated Irrigation Driven Hydroponic Fodder Production in Rainfed Agro-Ecosystems

Hydroponic fodder production offers a climate-resilient solution to chronic green fodder shortages in water-scarce semi-arid regions. This study evaluated an automated automated irrigation–based hydroponic maize fodder system within a low-cost polyhouse (180 m2) at Ananthapuramu, India during Kharif 2020. Three bedding materials control (no bedding), paddy straw, and sorghum...

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Soil Nutrient Assessment Using Ion-Selective Electrode-Based Nutrient Analyzer for Precision Agriculture
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Soil Nutrient Assessment Using Ion-Selective Electrode-Based Nutrient Analyzer for Precision Agriculture

Rapid and accurate soil nutrient assessment is critical for precision agriculture. This study presents a portable and intelligent soil nutrient analyzer based on ion-selective electrodes (ISE) for rapid, on-site estimation of potassium, nitrate, and chloride. Unlike image-based or machine learning approaches that rely on indirect inference, the proposed system directly measures ion activity usi...

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Regenerative Biochar for Carbon Sequestration and Emerging Technologies in Soil Organic Carbon Management for Sustainable Agriculture: A Review
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Regenerative Biochar for Carbon Sequestration and Emerging Technologies in Soil Organic Carbon Management for Sustainable Agriculture: A Review

Climate change is one of the most serious environmental issues and immediate worldwide action is essential to safeguard the earth for future generations. This study examines the use of regenerative biochar in conjunction with machine learning to assess the potential of carbon in soil for climate smart agriculture. Biochar is cost effective, practical and environmentally benign and it may be use...

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