Life on earth is linked to water resources. Recently, alarm bells have been ringing in global
organizations to raise awareness of the importance of rational use of water resources, which …

Tomatoes are a crop of significant economic importance, and disease during growth poses a
substantial threat to yield and quality. In this paper, we propose IBSA_Net, a tomato leaf …

This article employs pre-processing feature extraction and classification to identify plant
diseases. Pre-processing involves rescaling, contrast enhancement and filtering based on a …

Agriculture is dealing with numerous challenges of increasing production while decreasing
the amount of chemicals and fertilizers used. The intensification of agricultural systems has …

This study presents PlanteSaine, a novel mobile application powered by Artificial
Intelligence (AI) models explicitly designed for maize, tomato, and onion farmers in Burkina …

Introduction Tomato leaf diseases can cause major yield and quality losses. Computer
vision techniques for automated disease recognition show promise but face challenges like …

“The identification, classification and treatment of crop plant diseases are essential for
agricultural production. Some of the most common diseases include root rot, powdery …

More than 80% of the human diet depends on plants. Diseases in plants can cause food
insecurity, colossal crop loss, and low profit for growers. Therefore, autonomous systems are …

Ginger (Zingiber officinale), a globally cultivated spice crop, is vital to numerous economies.
However, its production faces significant challenges due to pests and diseases, which can …

The increased demand for food is accelerating plant diseases globally. Hence, a manual
process of detection of plant diseases is almost impossible. Artificial intelligence (AI) can …