Currently, Rwandan farmers rely on their naked eyes to diagnose maize illnesses. Because some plant illnesses are difficult to detect, observation needs extensive training and experience. Another method involves sending samples to a lab for testing; this takes money and time. To overcome the limitations of these techniques IoT and AI technologies are excellent must-haves for increasing farming productivity; they may assist farmers take precautions to prevent losses and provide decent food security in various regions of the nation.
In this thesis, an AI-enabled IoT mobile application for early maize plant disease detection was proposed to assist farmers in automatically detecting maize plant illnesses at an early stage of plant growth. To detect plant illness, an image of the plant is captured with the camera and uploaded to a local server using an Android application, the plant image is subjected to various image processing algorithms at the server to determine the disease, and the discovered disease is delivered back to the farmer's mobile application with remedies. Our system was assessed using a number of performance measures, including classification accuracy and processing speed. When it comes to differentiating the three most common disease groups that damage maize leaves, the model has an overall classification accuracy of 80%.
In today's era, all sectors are experiencing rapid growth through the adoption of advanced technologies, and agriculture is no exception. To meet the increasing demand for food, farmers must implement innovative techniques that preserve soil quality while boosting overall food production. This pr...
Read more>>Noise pollution is a significant yet often overlooked environmental issue, impacting millions of people daily. Common health problems resulting from noise pollution include hearing loss, high blood pressure, heart diseases, sleep disturbances, stress, and headaches. The challenge in mitigating no...
Read more>>In the modern era of smart technology, efficient waste management is a significant concern, particularly in urban areas. This project introduces an innovative smart dustbin system designed to enhance hygiene, convenience, and efficiency in waste disposal. The core of the system is an ESP8266 micr...
Read more>>Urban gardening has become increasingly popular as city dwellers seek to grow their own food and green their living spaces. However, managing an urban garden efficiently can be challenging due to space constraints and the need for continuous monitoring and care. The Smart Urban Gardening System a...
Read more>>The Smart Truck Bed Cover System integrates ESP8266 technology with various components to create an automated and responsive solution for truck bed covers. This project utilizes a servo motor, buzzer, LED indicators, tent cover, and rain sensor to enhance usability, protection, and convenience for t...
Read more>>