Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …

India is an agricultural nation and crops yield rate is a serious concern over the nation.
Lesser the production, higher the price of such crops and higher the hunger problem for …

With limited retrieval of reserves and restricted capability in plant pathology, automation of
processes becomes essential. All over the world, farmers are struggling to prevent various …

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 …

Rice leaf infections are a common hazard to rice production, affecting many farmers all over
the world. Early detection and treatment of rice leaf infection are critical for promoting healthy …

Citrus (Citrus reticulata) plants are affected by several diseases and require keen attention
to detect and cure the diseases in time; otherwise, significant financial loss is incurred. With …

Tomatoes are one of the world's greatest valuable vegetables and are regarded as the
economic pillar of numerous countries. Nevertheless, these harvests remain susceptible to a …

Disease and pest are the main factors causing grape yield reduction. Correct and timely
identification of these symptoms are necessary for the vineyard. However, the commonly …