[HTML][HTML] Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: A study on cassava disease
Food security is currently a major concern due to the growing global population, the
exponential increase in food demand, the deterioration of soil quality, the occurrence of …
exponential increase in food demand, the deterioration of soil quality, the occurrence of …
Knowledge graph and deep learning based pest detection and identification system for fruit quality
DJ Zhu, LZ ** knowledge-based system for the diagnosis and treatment of mango pests using data mining techniques
Detecting the pests of mango plants at an early stage requires an expert to identify the pests,
describe the methods of treatment and protection. Expert systems help a great deal in …
describe the methods of treatment and protection. Expert systems help a great deal in …
Automated Tomato Leaf Disease Detection Using Image Processing: An SVM‐Based Approach with GLCM and SIFT Features
Tomato cultivation is increasingly widespread, yet it faces significant challenges, particularly
from plant diseases caused by fungi, bacteria, and insects. Addressing these diseases is …
from plant diseases caused by fungi, bacteria, and insects. Addressing these diseases is …
Ontology-based nutritional recommender system
Obesity is considered an epidemic that is continuously growing around the world. Heart
diseases, diabetes, and bone and joint diseases are some of the diseases that people who …
diseases, diabetes, and bone and joint diseases are some of the diseases that people who …
[HTML][HTML] Crop diagnostic system: A robust disease detection and management system for leafy green crops grown in an aquaponics facility
Crops grown on aquaponics farms are susceptible to various diseases or biotic stresses
during their growth cycle, just like traditional agriculture. The early detection of diseases is …
during their growth cycle, just like traditional agriculture. The early detection of diseases is …
An ontology and rule-based clinical decision support system for personalized nutrition recommendations in the neonatal intensive care unit
Premature neonates hospitalized in the neonatal intensive care unit (NICU) have high
nutritional needs to ensure optimal growth and development. Monitoring adherence to …
nutritional needs to ensure optimal growth and development. Monitoring adherence to …
Enhancing Corn Pest and Disease Recognition through Deep Learning: A Comprehensive Analysis
Pests and diseases significantly impact the quality and yield of maize. As a result, it is crucial
to conduct disease diagnosis and identification for timely intervention and treatment of maize …
to conduct disease diagnosis and identification for timely intervention and treatment of maize …
[PDF][PDF] Automated identification of insect pests: A deep transfer learning approach using ResNet
In the realm of agriculture, crop yields of fundamental cereals such as rice, wheat, maize,
soybeans, and sugarcane are adversely impacted by insect pest invasions, leading to …
soybeans, and sugarcane are adversely impacted by insect pest invasions, leading to …