Plant diseases and insect pests cause a significant threat to agricultural production. Early
detection and diagnosis of these diseases are critical and can reduce economic losses. The …

Tea leaf blight (TLB) is a common disease that affects the yield and quality of tea. Timely and
accurate detection and monitoring of TLB can help support the precise control of the …

This review article provides a comprehensive examination of the state-of-the-art in maize
disease detection leveraging Convolutional Neural Networks (CNNs). Beginning with the …

Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

In recent times, maize diseases have become widespread globally, adversely impacting
agricultural productivity and causing significant financial losses. Recognizing these …

Swift identification of leaf diseases is crucial for sustainable rice farming, a staple grain
consumed globally. The high costs and inefficiencies of manual identification underline the …

The paper describes an original technique for the real-time monitoring of parameters and
technical diagnostics of small unmanned aerial vehicle (UAV) units using neural network …

Early detection of tea leaf diseases is crucial for maintaining crop yield and agricultural
production. However, manual inspection is a time-consuming and error-prone process …

We are in a race against time to combat climate change and increase food production by
70% to feed the ever‐growing world population, which is expected to double by 2050 …

Among all staple of foods, rice is most commonly used all over the world. A rice plant
disease is a major concern that shows its negative effect on crop yields. If regular and proper …