Multi-Step Preprocessing With UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection
Agricultural production is a cornerstone of national economies, and the prevalence of plant
diseases poses a significant threat to crop yields. Timely disease detection is essential to …
diseases poses a significant threat to crop yields. Timely disease detection is essential to …
CL‐HPWSR: Cross‐layer‐based energy efficient cluster head selection using hybrid particle swarm wild horse optimizer and stable routing in IoT‐enabled smart …
In the recent days, the Internet of Things (IoT) has assumed a significant role in automized
farming applications. The farmers can receive frequent information corresponding to the soil …
farming applications. The farmers can receive frequent information corresponding to the soil …
A systematic review of environmental sustainability and economic growth
With the deadline for sustainable development goals nearly a decade away, it becomes
relevant to conduct a cost-benefit analysis and ascertain the cost of a sustainable economy …
relevant to conduct a cost-benefit analysis and ascertain the cost of a sustainable economy …
ANFIS Fuzzy convolutional neural network model for leaf disease detection
Leaf disease detection is critical in agriculture, as it directly impacts crop health, yield, and
quality. Early and accurate detection of leaf diseases can prevent the spread of infections …
quality. Early and accurate detection of leaf diseases can prevent the spread of infections …
Machine learning-based application to detect pepper leaf diseases using histgradientboosting classifier with fused HOG and LBP features
MB Devi, K Amarendra - Smart Technologies in Data Science and …, 2021 - Springer
Pepper leaf disease detection is one of the interesting challenges in the field of machine
learning. In this chapter, we propose a machine learning-based approach to extract texture …
learning. In this chapter, we propose a machine learning-based approach to extract texture …
Paddy Leaf Disease Detection using CNN
Plant diseases function as a significant threat to the food industry. The projected system
helps in detection of crop diseases and provides remedies which might defend in …
helps in detection of crop diseases and provides remedies which might defend in …
Analytical derivation of optimal irrigation water depth for efficient irrigation scheduling
Optimal irrigation water depth is a crucial parameter in irrigation engineering, often referred
to as root zone depth. It is typically assumed to lie between 1 and 1.5 m below the ground …
to as root zone depth. It is typically assumed to lie between 1 and 1.5 m below the ground …
Intelligent agriculture system using low energy and based on the use of the internet of things
K Elhattab, K Abouelmehdi - Bulletin of Electrical Engineering and …, 2024 - beei.org
The field of smart agriculture is ranked among the top areas that uses the internet of things
(IoT), whose goal is to increase the quantity and quality of agricultural productivity. The aim …
(IoT), whose goal is to increase the quantity and quality of agricultural productivity. The aim …
Does agricultural export promote nepalese economic growth? ARDL approach using structural break
A Ghimire, F Weiwei, P Zhuang - E3S Web of Conferences, 2021 - e3s-conferences.org
This study examines the impact of agricultural export on the economic growth in Nepal for
the time period of 1970-2015. In this analysis, researchers used the ARDL model using …
the time period of 1970-2015. In this analysis, researchers used the ARDL model using …
A convolutional neural network architecture for tomato leaf disease detection using data augmentation
M Bharati Devi, K Amarendra - … of the Fourth International Conference on …, 2021 - Springer
Convolutional neural networks have set state-of-the-art results for many challenging
problems in the field of computer vision. In this article, we design and implement a six …
problems in the field of computer vision. In this article, we design and implement a six …