Plant diseases are one of the major threats to the economy and food security of a country.
Detection of such diseases timely and accurately on large scale is prone to human error …

Crop protection is a great obstacle to food safety, with crop diseases being one of the most
serious issues. Plant diseases diminish the quality of crop yield. To detect disease spots on …

This study presents a new deep learning approach based on capsule networks and
ensemble learning for the detection of plant diseases. The developed method is called as …

Agriculture, along with its related industries, is without a doubt India's largest source of
income. Plant disease is a major concern in agriculture today, as it decreases food …

Performance evaluation is a critical part of deep learning (DL) that requires careful conduct
to enhance confidence and reliability. Several metrics exist to evaluate DL models, however …

Banana plants require a precise balance of 16 essential nutrients to flourish, with
micronutrients playing a pivotal role in smaller proportions than macronutrients. Insufficient …

Machine learning methods adopted in classification of plant leaf diseases face challenges
such as low accuracies, demand for huge training data among others. Some algorithms …

In many places around the globe, sericulture is recognized as one of the most important
segments of the agriculture industry, and it has achieved success. It is believed that the best …

Early plant disease diagnosis is becoming more and more important. Plant diseases have
an impact on a plant's development and reduce its output. Diseases in plants can result in …

Plants are prone to climatic changes which is considered to be one of the crucial challenges
in agriculture. As a major part of the agricultural industry depends on rainwater for irrigation …