Disease detection in plants is essential for food security and economic stability. Unmanned
aerial vehicle (UAV) imagery and artificial intelligence (AI) are valuable tools for it. The …

Technological advances in unmanned aerial vehicles (UAVs) pursued by artificial
intelligence (AI) are improving remote sensing applications in smart agriculture. These are …

In Agriculture Sciences, detection of diseases is one of the most challenging tasks. The mis-
interpretations of plant diseases often lead to wrong pesticide selection, resulting in damage …

The agricultural crop productivity can be affected and reduced due to many factors such as
weeds, pests, and diseases. Traditional methods that are based on terrestrial engines …

Early detection of plant disease and pest attack that cause substantial yield and economic
losses in agricultural production and taking the necessary precautions on time make a great …

The goal of smart and precise horticulture is to increase yield and product quality by
simultaneous reduction of pesticide application, thereby promoting the improvement of food …

Agricultural losses due to post-harvest diseases can reach up to 30% of total production.
Detecting diseases in fruits at an early stage is crucial to mitigate losses and ensure the …

Indian economy is mainly dependant on agriculture as it gives employment to 60% of the
population and contributes around 17% to the GDP, therefore, disease identification and …

Plant diseases can cause a considerable reduction in the quality and number of agricultural
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …

Since agriculture employs 47% of the population and contributes about 19.9% of the GDP in
Bangladesh, disease detection and management are critical for farmers in order to harvest a …