International Journal of Agriculture, Biology & Environment (e-ISSN 2582-6107) DOI: 10.47504/IJAGRI https://ijagri.org/index.php/ijagri <p><img src="https://ijagri.org/public/site/images/adminijagri/mceclip1.png" /></p> <p>International Journal of Agriculture, Biology &amp; Environment (IJAGRI) publishes new ideas, the state of the art research results, and fundamental advances in all fields of agriculture, Biology &amp; Environmental Sciences related to Agriculture, as reviews, research articles, and short communications. The <strong>IJAGRI</strong> Journal is the Agricultural Science, journal with e-ISSN: 2582-6107, and DOI: 10.47504/IJAGRI publishes original research articles, review articles, and letters to the editor.</p> <p>Openly accessible IJAGRI provides wider sharing of knowledge and the acceleration of research, and is thus in the best interest of authors, and potential readers, and increases the availability, accessibility, visibility, and impact of the papers, and the journal as a whole. </p> <p> </p> <p> </p> Sretechjournal Publication en-US International Journal of Agriculture, Biology & Environment (e-ISSN 2582-6107) DOI: 10.47504/IJAGRI 2582-6107 Ability of Haematostaphis barteri Hook F. to air layering in the Sudano-Sahelian zone of Cameroon https://ijagri.org/index.php/ijagri/article/view/137 <p><em>Haematostaphis barteri is a highly valued wild species of </em><em>socio-economic interest that is under multifaceted pressure. Indeed, excessive use of this plant leads to a repressive dynamic in its population. The objective of this work is to evaluate the aptitude of </em><em>Haematostaphis barteri for air layering. The layering technique used consists of girdling the branch in order to remove the bark over a length of 6 or 7cm until the wood appears. Then, the cambium is thoroughly scraped and the phloem is thoroughly removed. </em><em>Three trials were conducted. The first and second were carried out in august 2023, they consisted of determining the favorable period for air layering by </em><em>quantifying carbohydrates on the mother plants of the species during the year(trial 1). For experiment two, the substrates used consisted of </em><em>back soil; the black soil/sawdust mixture (40/60%); the spent grain of traditional beer and the foam. the experimental unit consisted of 10 layers. That is, a total of 120 layers(10 x 4 x 3). The experimental devise used was a completely randomiwed block for the first, two trials. The last experiment was carriedout in june 2024. Thus, using the tailor’s tape, </em><em>three ra</em><em>nges of branch diameter [2-4</em><em>[</em><em>cm; [4-6</em><em>[cm</em><em>; [6-8</em><em> [cm</em> <em>were examined in the best substrate of the previous trial. That is, a total of 180 layers (10 x 3 x 2 x 3) were placed. The experiment design used is a Split-plot with 3 repetitions. The results of this study show that</em> <em>the quantification of sugars shows that the favorable period for conducting aerial layering of the species is the beginning of the rainy season.</em> <em>Haematostaphis barteri has a good aptitude for air layering. The type of substrate, the diameters of the branches and the aluminium foil have an influence on the rooting rate. The black earth/sawdust mixture with a rate of (63.33±15.27%) is numerically the best rooting substrate and the diameters </em><em>[4-6]cm and [6-8]</em><em>cm presented promising results for the same rooting parameter in this species. The aluminium foil improved and protected the sheaths against light rays. These tested parameters are important in developing a domestication strategy for this species.</em></p> Jonas Nimaligui Yohanna Dangai Zephirin Haman Oumarou Yougouda Hamawa Herve Joseph Ewodo APANA Roland Naddelni Begoto Guidawa FAWA Pierre Marie Mapongmetsem Copyright (c) 2025 Jonas Nimaligui, Yohanna Dangai, Zephirin Haman Oumarou, Yougouda Hamawa, Herve Joseph Ewodo APANA, Roland Naddelni Begoto, Guidawa FAWA, Pierre Marie Mapongmetsem https://creativecommons.org/licenses/by-nc/4.0 2025-11-05 2025-11-05 6 4 1 14 10.47504/IJAGRI.2025.4.1 Agrisathi: A Multilingual AI-Based Advisory Platform for Smallholder Farmers in India https://ijagri.org/index.php/ijagri/article/view/138 <p>India is home to over 120 million smallholder farmers, yet more than 80% lack timely access to expert agricultural advice, modern tools, or reliable markets, resulting in frequent crop losses, low productivity, and a widening digital divide. This paper presents AgriSathi, a multilingual, voice-assisted mobile platform designed to bridge these gaps by offering personalized crop advisory and real-time disease detection using artificial intelligence (AI). The platform integrates a regional-language voice assistant, image-based plant disease recognition, and a gamified community engagement model (AgriCreds) that incentivizes peer-to-peer support. Additionally, AgriSathi connects users to government schemes and verified agri-input providers, making it accessible even to digitally inexperienced farmers. This study outlines the system's architecture, technical methodologies, AI models employed, and its potential socio-economic impact on India's agricultural ecosystem.</p> Lobsang Tsetan Shakya Copyright (c) 2025 Lobsang Tsetan Shakya https://creativecommons.org/licenses/by-nc/4.0 2025-11-05 2025-11-05 6 4 15 22 10.47504/IJAGRI.2025.4.2