Plant disease, a huge burden, can cause yield loss of up to 100% and thus reduce food
security. Actually, smart diagnosing diseases with plant phenomics is crucial for recovering …

Plant diseases threaten global food security by reducing crop yield; thus, diagnosing plant
diseases is critical to agricultural production. Artificial intelligence technologies gradually …

Nitrous oxide (N 2 O) represents a significant environmental challenge as a harmful, long-
lived greenhouse gas that contributes to the depletion of stratospheric ozone and …

Accurate identification of plant diseases is important for ensuring the safety of agricultural
production. Convolutional neural networks (CNNs) and visual transformers (VTs) can extract …

Plant disease diagnosis in time can inhibit the spread of the disease and prevent a large-
scale drop in production, which benefits food production. Object detection-based plant …

Crop diseases have a significant impact on crop yield and quality, so there is an urgent need
for a fast and accurate detection method to identify the types of diseases and treat them in a …

In rice production, the prevention and management of pests and diseases have always
received special attention. Traditional methods require human experts, which is costly and …

The primary challenges in tea production under multiple stress exposures have negatively
affected its global market sustainability, so introducing an infield fast technique for …

Tea cultivation holds significant economic value, yet the leaves of tea plants are frequently
susceptible to various pest and disease infestations. Consequently, there is a critical need …

In order to address the challenges of inefficiency and insufficient accuracy in the manual
identification of young citrus fruits during thinning processes, this study proposes a detection …