Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...
Abstract: This research aims to develop a resilient and expert deep learning system to identify and classify plant diseases using ResNet (Residual Neural Networks). Such innovations will help overcome ...
Abstract: Early identification of diseases in bell pepper plants at the appropriate time creates two benefits: improving crop output and reducing economic losses for agriculture. This research ...
Abstract: Plant condition monitoring is one of the necessary tasks in the agriculture to confirm the yield. Recent agricultural monitoring procedures employed computerised-algorithms to automate ...
Abstract: Banana farming is an important part of agriculture in South Asia. However, the crop is often affected by fungal leaf spot diseases such as Sigatoka, Cordana, and Pestalotiopsis, which reduce ...
Abstract: Cotton plays a crucial role in the global economy and is a primary raw material for the textile sector. Despite its importance, cotton crops are prone to various diseases that can severely ...
Abstract: Nowadays, technological evolution is foreseen in the agricultural field but it is not as rapid as industrial evolution. Plant disease remains a crucial issue affecting food security, plant ...
Abstract: Plant diseases often reduce the quality and amount of farm output, resulting in major financial and production losses. Since farming practices are now focused on widespread crop monitoring, ...
Abstract: There has been a 37% yearly decrease in rice yields as a result of rice plant diseases. It might happen mostly as a result of not knowing how to identify and treat diseases that affect rice ...
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