Agricultural

Automated Fruit Ripeness Detection System

Harvesting fruits and detecting the ripeness of fruits by a human is an expensive, laborious, and time-consuming task. For this reason, there is a need for an Automated Fruit Ripeness Detection System in the last decade. Fruit ripeness detection is the major task that influences its quality and later its marketing. Researchers have started targeting the study of ripeness detection using methods in image processing, odour sensor, and machine learning to automatic classification of ripeness of fruit accurately, quickly, and non-destructively.

Automated Food Ingredient Detection System

The need for an Automated Food Ingredient Detection System has emerged as people become increasingly aware of the value of food ingredients and a balanced diet. These systems can not only provide for the automated detection of food ingredients but can also allow their nutritional values to be estimated, making them particularly useful for dietary evaluation and planning applicable to patients with different dietary constraints, as well as for healthy people, by preventing nutritional conditions.

Automated Fruit Sorting System

Automated Fruit Sorting System technology has become more potential and important to fruit sorting and grading applications. This is due to that the quality of fruits is an important factor for the consumer and so essential for marketing uniform high-quality products. The Automated Fruit Sorting System technique has been set up to reduce the production costs and improve fruit quality and replace the manual technique for sorting and grading of fruits as manual inspection is facing problems in maintaining consistency and uniformity.

Automated Herb Plant Species Recognition & Early Plant Disease Detection System

Automated Herb Plant Species Recognition and Early Plant Disease Detection System aimed to realize the computerized method to recognize the species and detect early disease of the herbs by referring to shape, odour, and texture. This project has been developed for recognizing the species and detecting the early disease of the herbs using computer vision and electronic nose, which focus on odour, shape, colour and texture extraction of herb leaves, together with a hybrid intelligent system that is involved Artificial Intelligent (AI) system. These techniques were used to perform a convenient and effective herb species recognition and early disease detection on every different herb species.

Smart Oil Palm Fresh Fruit Bunch Maturity Grading System

Smart Oil Palm Fresh Fruit Bunch Maturity Grading System involves the inspection, assessment, and sorting of various kinds of oil palm regarding quality, freshness, legal conformity, and market value. A normal grading system often occurs by hand, in which oil palm are assessed and sorted. Machinery is also used to grade oil palm automatically and may involve sorting products by size, shape, and quality.

Smart Paddy Management System

Population growth results in a rise in the demand for rice. Hence, the production of crops must be increased by adopting new technology. The paddy fields must be irrigated once with natural water and 1-2 times with machine water through a water pump. Smart Paddy Management System is a smart system that can monitor the state of a paddy field and adjust the water level in the field automatically. Multiple sensors in the system measure the field’s water level, moisture, temperature, and humidity.

Automated Intelligent Smart Farming System

The Automated Intelligent Smart Farming System is centred on the utilisation of data collected from multiple sources (historical, geographical, and instrumental) for the management of agricultural activities. Being technologically advanced does not necessarily imply that a system is intelligent. Modern agricultural technologies distinguish themselves by their capacity to record and interpret data. This system uses hardware and software to collect data and provide actionable insights for managing all pre- and post-harvest farm operations. The data is organised, always accessible, and full of information on every area of financial and field operations that can be monitored from any location.

AGRICULTURAL

Automated Fruit Ripeness Detection System

Multisensory Integration

Automation and Efficiency

Versatility across Fruit Types

Real-Time Monitoring

Automated Food Ingredient Detection System

Multisensory Integration

Automation for Efficiency

Versatility Across Ingredients

Real-Time Monitoring and Adaptation

Automated Fruit Sorting System

Adaptive Learning for Continuous Improvement

Dynamic Sorting Criteria

Non-Destructive Sorting

Customizable Sorting Configurations

Automated Herb Plant Species Recognition & Early Plant Disease Detection System

Multimodal Recognition Approach

AI-Enabled Early Disease Detection

Adaptive Learning for Varied Plant Species

Smart Oil Palm Fresh Fruit Bunch Maturity Grading System

Real-Time Grading

AI-Driven Maturity Assessment

Data-Driven Yield Optimization

Reduced Harvesting Costs

Smart Paddy Management System

Dynamic Crop Monitoring

Automated Pest and Disease Detection

Optimized Irrigation Management

Yield Prediction and Optimization

Automated Intelligent Smart Farming System

Real-Time Monitoring and Analysis

Predictive Analytics for Crop Health

Integration of IoT Sensors

Automated Precision Agriculture