Machine learning applications for precision agriculture: A comprehensive review
Agriculture plays a vital role in the economic growth of any country. With the increase of
population, frequent changes in climatic conditions and limited resources, it becomes a …
population, frequent changes in climatic conditions and limited resources, it becomes a …
Technological revolutions in smart farming: Current trends, challenges & future directions
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
Identification of plant-leaf diseases using CNN and transfer-learning approach
The timely identification and early prevention of crop diseases are essential for improving
production. In this paper, deep convolutional-neural-network (CNN) models are …
production. In this paper, deep convolutional-neural-network (CNN) models are …
Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
AlexNet convolutional neural network for disease detection and classification of tomato leaf
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 …
processes becomes essential. All over the world, farmers are struggling to prevent various …
Plant disease identification using a novel convolutional neural network
The timely identification of plant diseases prevents the negative impact on crops.
Convolutional neural network, particularly deep learning is used widely in machine vision …
Convolutional neural network, particularly deep learning is used widely in machine vision …
Apple leaf disease recognition method with improved residual network
H Yu, X Cheng, C Chen, AA Heidari, J Liu, Z Cai… - Multimedia Tools and …, 2022 - Springer
The occurrence of apple diseases has dramatically affected the quality and yield of apples.
Disease monitoring is an important measure to ensure the healthy development of the apple …
Disease monitoring is an important measure to ensure the healthy development of the apple …
Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges
Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
Carbon dioxide adsorption based on porous materials
Global warming due to the high concentration of anthropogenic CO2 in the atmosphere is
considered one of the world's leading challenges in the 21st century as it leads to severe …
considered one of the world's leading challenges in the 21st century as it leads to severe …
Do we really need deep CNN for plant diseases identification?
Timely identification of plant diseases plays crucial roles in the management and decision-
making to protect the agricultural yield and quality. In this research field, there have been so …
making to protect the agricultural yield and quality. In this research field, there have been so …