Manual identification of tomato leaf diseases is a time-consuming and laborious process that
may lead to inaccurate results without professional assistance. Therefore, an automated …

In agriculture, the timely identification of plant diseases is vital for reducing crop loss,
ensuring high-quality yields, and fostering sustainable farming practices. The agricultural …

Background: Plant diseases affect agricultural output, quality and profitability, making them
serious obstacles for agriculture. It is essential to detect diseases early in order to reduce …

Corn leaf disease detection models aim to accurately identify and diagnose diseases in
crops, enabling early intervention to prevent spread and minimize losses. By providing …

Tomato cultivation is expanding rapidly, but the tomato sector faces significant challenges
from various sources, including environmental (abiotic stress) and biological (biotic stress or …

This research paper defines and analyses the transformation where “ML and DL techniques
are employed for detecting and classifying tomato leaf diseases”. This paper aims to …

The cultivation of cotton plays vital role for daily agricultural practices, as it is extensively
cultivated by a significant number of farmers. Early identification of crop diseases is essential …

An agricultural productivity boost that is sustainable requires the early and accurate
identification of plant diseases. Traditionally, human experts have been used to diagnose …

For more than 70% of Indians, agriculture is their main source of income. However, as it
directly affects economic growth, the amount and quality of the crop produced are the …

农作物在全球食品供应中发挥着至关重要的作用. 各种环境因素都会导致农作物病虫害,
从而导致严重的生产损失. 然而, 人工检测作物病虫害是一个耗时且容易出错的过程 …