Title: Smart Agro Intelligent System
Authors: Joyce Thadey, Gladness Masatu, Azori Lukaya
Volume: 10
Issue: 2
Pages: 24-30
Publication Date: 2026/02/28
Abstract:
Agriculture remains the backbone of Tanzania's economy, providing employment and income to the majority of the population, particularly smallholder farmers in rural areas. Despite its importance, agricultural productivity remains low due to challenges such as limited access to timely and reliable farming information, climate variability, crop diseases, poor farm management practices, and inefficient use of agricultural inputs. Although recent advances in digital technologies such as mobile applications, artificial intelligence, and data-driven decision-support systems present promising opportunities to address these challenges, most existing smart agriculture solutions operate as isolated applications that fail to provide holistic support for farmers' day-to-day decision-making processes. This review paper examines existing smart agriculture and intelligent farming systems with the aim of identifying key research trends, limitations, and gaps affecting their adoption and effectiveness in developing countries. The review focuses on issues related to system fragmentation, dependence on internet connectivity, lack of localization to specific farming contexts, and insufficient evaluation of real-world impact. Based on these observations, the study motivates the development of a Smart Agro Intelligent System that integrates crop calendars, climate alerts, AI-based disease identification, learning resources, farmer interaction tools, and cost-profit tracking into a single, accessible platform. The proposed system aims to enhance informed decision-making, improve crop productivity, reduce production costs, and promote sustainable agriculture among smallholder farmers in Tanzania.