[HTML][HTML] Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
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 …
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 …
[HTML][HTML] Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network
Plants are susceptive to various diseases in their growing phases. Early detection of
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …
[HTML][HTML] Recent advances in image processing techniques for automated leaf pest and disease recognition–A review
LC Ngugi, M Abelwahab, M Abo-Zahhad - Information processing in …, 2021 - Elsevier
Fast and accurate plant disease detection is critical to increasing agricultural productivity in
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
Rice diseases detection and classification using attention based neural network and bayesian optimization
In this research, an attention-based depthwise separable neural network with Bayesian
optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf …
optimization (ADSNN-BO) is proposed to detect and classify rice disease from rice leaf …
[HTML][HTML] A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
The rice leaves related diseases often pose threats to the sustainable production of rice
affecting many farmers around the world. Early diagnosis and appropriate remedy of the rice …
affecting many farmers around the world. Early diagnosis and appropriate remedy of the rice …
[HTML][HTML] An intensive and comprehensive overview of JAYA algorithm, its versions and applications
In this review paper, JAYA algorithm, which is a recent population-based algorithm is
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
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 …
Crop yield prediction using deep reinforcement learning model for sustainable agrarian applications
D Elavarasan, PMD Vincent - IEEE access, 2020 - ieeexplore.ieee.org
Predicting crop yield based on the environmental, soil, water and crop parameters has been
a potential research topic. Deep-learning-based models are broadly used to extract …
a potential research topic. Deep-learning-based models are broadly used to extract …