https://eijaer.com/index.php/aer/issue/feed 2025-05-26T07:16:42+00:00 Editor in Chief editor@ephjournal.org Open Journal Systems <p><strong><span id="cell-8-name" class="gridCellContainer"><span class="label">International Journal of Agriculture and Environmental Research (ISSN: 2208-2158)</span></span> </strong> publishes a wide range of high quality research articles in the field (but not limited to) given below: Agronomy, Entomology, Horticulture, Plant pathology, Plant Science, Fertilizers and pesticides, Genetic Engineering &amp; plant breeding, Animal scienceVeterinary Science, Aquaculture/Fisheries, Agricultural Engineering, Agricultural machinery etc.</p> https://eijaer.com/index.php/aer/article/view/105 2025-02-28T05:44:09+00:00 Desai Riya desairiya206@gmail.com Patel Pratik desairiya206@gmail.com

<p><em>Waste disposal is a major concern due to rapid urbanization and industrialization. Finding cutting-edge, eco-friendly technology is urgently needed to tackle it. This paper reviews Constructed soil filter beds as engineered model design for wastewater treatment and evaluates the potential of using porous media, like soil rock, stone, gravel and plants in treating different industrial and domestic wastewater. Soil minerals and soil microorganism play important roles in elimination of pollutants from wastewater. This process removes BOD, COD, TSS, and TDS effectively, environment-friendly, cost-effective and in eco-friendly manner with general and natural mechanisms.</em></p>

2025-02-28T00:00:00+00:00 Copyright (c) 2025 EPH - International Journal of Agriculture and Environmental Research https://eijaer.com/index.php/aer/article/view/107 2025-05-26T07:16:42+00:00 P. Jayaprasanna jayaprasanna098@gmail.com

<p><em>food security, climate variability, and resource inefficiency. It emphasizes how artificial intelligence (AI) facilitates data-driven decision-making for effective and sustainable farming methods. The review explores at AI developments and uses, with particular attention to blockchain, IoT, and machine learning (ML). Precision farming, crop management, and post-harvest logistics are examined in relation to these technologies, with a focus on improving sustainability and resource efficiency. Artificial intelligence (AI) has shown great promise in transforming agricultural methods and providing answers to increase sustainability and output. Obstacles including high prices, a lack of technical know-how, and infrastructure deficiencies, especially for smallholder farmers, prevent its widespread implementation. The study highlights the need for AI solutions that are affordable, inclusive, and flexible in order to help smallholder farmers close the gap. It emphasizes how crucial ethical and regulatory frameworks are to guaranteeing fair access and scalability of AI technology in agriculture. This study suggests future directions for innovation while highlighting the innovative role of AI in handling global agriculture challenges. The report adds to the conversation on using AI to create a resilient and just agriculture sector by highlighting inclusion and sustainable growth.</em></p>

2025-05-14T00:00:00+00:00 Copyright (c) 2025 International Journal of Agriculture and Environmental Research