Since ancient times, agriculture is one of the most critical occupations in India. India is consi... more Since ancient times, agriculture is one of the most critical occupations in India. India is considered the world's second-largest in outputs. Agriculture is the most critical sector and plays a vital role in the Indian economy, which contributes around 17% of total GDP and 60% of the entire workforce, according to the assessment of 2018. Different seasonal, economic and biological patterns affect crop production, but sudden changes in these patterns lead to a significant loss to farmers. Crop yield prediction is a fundamental issue in agriculture. By analysing various relevant factors, like location, crop type, PH value of soil, type of soil, percentage of nutrients like Phosphorous (P), Nitrogen(N), Potassium(K), humidity, temperature and amount of rainfall, we can forecast crop yield using Machine Learning. Different approaches have been used to produce models and interpret final effects, such as Regression, K-means, Decision Trees, Random Forests, Support Vector Machines, Bayesian Networks, Artificial Neural Networks, etc. Such approaches help analyse the environment, soil and water processes heavily involved in crop growth and precision farming. An overview of some of the latest supervised and unsupervised machine learning models linked to crop yield in literature is highlighted in this survey paper.
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS)
Diabetes is a form of chronic illness that lasts a long time. Diabetes is a condition in which bl... more Diabetes is a form of chronic illness that lasts a long time. Diabetes is a condition in which blood sugar levels are excessively high. Various physical and chemical tests are used to diagnose this. If the disease can be predicted early, further serious complications may be avoided, because untreated diabetes can damage other organs such as the heart, kidneys, foot, eyes, etc. Therefore, the mortality rate due to diabetes can be reduced by early diagnosis. As a result, the model to predict if a patient has diabetes or not, using various machine learning techniques/algorithms have been evaluated, and the model that provides the highest accuracy in the shortest amount of time has been determined. For this study, the Pima Indian Diabetes Dataset (PIDD) was obtained from the Machine Learning Repository at the University of California, Irvine.
The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low res... more The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low resolution images. Nowadays super resolution images are used in many applications such as, satellite image, medical image etc. In resolution enhancement of images the main loss is high frequency contents (edges) of the image. Hence in order to enhance the quality of image, preserving the edges is necessary. This paper compares various image resolution enhancement techniques such as discrete wavelet transform (DWT), stationary wavelet transform(SWT), dual tree complex wavelet transform (DT-CWT), wavelet zero padding (WZP), cycle spinning (CS), Vector-Valued Image Regularization with Partial Differential Equations (VVIR-PDE), Inter Sub band Correlation Technique (ISC).
2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2017
Now a day's cloud computing is a fastest growing technology that are very demanded emerging t... more Now a day's cloud computing is a fastest growing technology that are very demanded emerging technology, that provided services like Infrastructure for organization that service comes under IaaS (Infrastructure as a Service), The Cloud is also provide platform for building application that service are known as a PaaS (Platform as a Service) & The cloud is also provide services online, for that you don't have to install any kind of software that service are known as SaaS (Software as a Service). The Salesforce is a reputed organization in the field of cloud computing, initially they start with CRM (SaaS Service). Now they also provided platform with the help of Force.com, Heroku. Force.com is provide platform for building pure native application with APEX language as a backend, the APEX language is same as a java language but syntax and functionality is some different compare to java. Salesforce provides security to protect data on cloud. This paper focus on Salesforce internal security, Two-Factor Authentication, Single Sign-On, OWD (Org. wise default setting), permission set, sharing rule, profile, role & field level security.
International Journal for Research in Applied Science and Engineering Technology, 2018
In Medical fields, the doctors use different types of imaging technologies among those Wireless C... more In Medical fields, the doctors use different types of imaging technologies among those Wireless Capsule Endoscopy is the one, it used to capture images from the patient body during examination time. Wireless Capsule Endoscopy is prevailing technology which is used by Gasterologist doctors to examine the human digestive system. During the investigation time, more than 57,000 images can be generated and then the doctor examines the images frame by frame to detect mucosal abnormalities (i.e Ulcer, Erosion, erthema, polyp, bleeding…etc). In fact, this is a boring and it takes a lot of time even for a skillful gastrologist doctor. In this paper, different existing abnormal image detection techniques are studied in detail. Recently, the Wireless Capsule Endoscopy (WCE) is an active research area in medical domain. Various research works have been done aiming to develop self-acting algorithms for abnormality detection using color, texture analyses, and other techniques. This paper more focuses on single abnormality detection techniques.
The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low res... more The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low resolution images. Nowadays super resolution images are used in many applications such as, satellite image, medical image etc. In resolution enhancement of images the main loss is high frequency contents (edges) of the image. Hence in order to enhance the quality of image, preserving the edges is necessary. This paper compares various image resolution enhancement techniques such as discrete wavelet transform (DWT), stationary wavelet transform(SWT), dual tree complex wavelet transform (DT-CWT), wavelet zero padding (WZP), cycle spinning (CS), Vector-Valued Image Regularization with Partial Differential Equations (VVIR-PDE), Inter Sub band Correlation Technique (ISC).
Journal of emerging technologies and innovative research, 2019
Now a day’s in India, about 70% of the people are in the agriculture system. Agricultural include... more Now a day’s in India, about 70% of the people are in the agriculture system. Agricultural includes harvesting of the plants, fruits, crops, etc on a large scale. Now, this harvested product should be disease free for healthy production further. Now, hereby diseases in plants cause major production and economic losses. The most standout cause of harm is attack of disease. Rural researchers and scientists assume an imperative job in identifying and discovering solution for plant sicknesses. Farmers experience great difficulties in detection and control on disease with naked eyes. In this paper we survey the need of basic plant disease detection that would facilitate in agriculture. This paper essentially incorporates strategies that utilization picture handling systems to distinguish the plant infections. It likewise incorporates the side effects of the illness in any piece of the plant. This paper displays the different computerized picture handling procedures and its correlation for...
International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018, 2018
Medical doctors use various types of technologies to analysis patient different organ like, Magne... more Medical doctors use various types of technologies to analysis patient different organ like, Magnetic Resonance Imaging, Computed Tomography (CT) scans, X-ray, Endoscopy and others to capture images from the patient body during examination time. Among those imaging technologies, Endoscopy is the most popular imaging technology which is used by most doctors to examine the human digestive system. During the examination time, more than 57,000 images can be generated and the doctor examines the images frame by frame to detect mucosal abnormalities. In fact, this is a tedious and time taking task even for an experienced gastrologist doctor. In this survey paper, different existing abnormal image detection techniques are studied in detail. Recently, detecting different types of diseases from the Capsule Endoscopy and conventional Endoscopy has been an active research area in medical domain. Most of the research has been done aiming to develop self acting algorithms to detect the disease sh...
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021
The total population is constantly growing, and it is important to have a satisfactory collectibl... more The total population is constantly growing, and it is important to have a satisfactory collectible environment. Monitoring crop yields and crop assessments are critical to the country's financial development. Crop collection considerations directly affects the socio-economic community and is expected to play a major role in food security and food security. Boundaries affecting critical crop yields, soil, water, and local harvesting parameters are referred to. In this study the learning-based models are widely used to differentiate critical harvesting characteristics. The proposed work constructs an LSTM-RNN-based LSTM-based RNN reinforcement model to move the learning balance necessary for Q-Learning Reinforcement count to calculate yield. Sequential downloads for LSTM and RNN are hosted by data limits. A straight layer indicates the LSTM-RNN yield relative to Q values. The help study manager joins a combination of parametric features with a hem that helps predict the yield. Finally, the manager gets the full score of the exercise performed by minimizing the error and increasing the accuracy of the gauge.
Since ancient times, agriculture is one of the most critical occupations in India. India is consi... more Since ancient times, agriculture is one of the most critical occupations in India. India is considered the world's second-largest in outputs. Agriculture is the most critical sector and plays a vital role in the Indian economy, which contributes around 17% of total GDP and 60% of the entire workforce, according to the assessment of 2018. Different seasonal, economic and biological patterns affect crop production, but sudden changes in these patterns lead to a significant loss to farmers. Crop yield prediction is a fundamental issue in agriculture. By analysing various relevant factors, like location, crop type, PH value of soil, type of soil, percentage of nutrients like Phosphorous (P), Nitrogen(N), Potassium(K), humidity, temperature and amount of rainfall, we can forecast crop yield using Machine Learning. Different approaches have been used to produce models and interpret final effects, such as Regression, K-means, Decision Trees, Random Forests, Support Vector Machines, Bayesian Networks, Artificial Neural Networks, etc. Such approaches help analyse the environment, soil and water processes heavily involved in crop growth and precision farming. An overview of some of the latest supervised and unsupervised machine learning models linked to crop yield in literature is highlighted in this survey paper.
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS)
Diabetes is a form of chronic illness that lasts a long time. Diabetes is a condition in which bl... more Diabetes is a form of chronic illness that lasts a long time. Diabetes is a condition in which blood sugar levels are excessively high. Various physical and chemical tests are used to diagnose this. If the disease can be predicted early, further serious complications may be avoided, because untreated diabetes can damage other organs such as the heart, kidneys, foot, eyes, etc. Therefore, the mortality rate due to diabetes can be reduced by early diagnosis. As a result, the model to predict if a patient has diabetes or not, using various machine learning techniques/algorithms have been evaluated, and the model that provides the highest accuracy in the shortest amount of time has been determined. For this study, the Pima Indian Diabetes Dataset (PIDD) was obtained from the Machine Learning Repository at the University of California, Irvine.
The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low res... more The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low resolution images. Nowadays super resolution images are used in many applications such as, satellite image, medical image etc. In resolution enhancement of images the main loss is high frequency contents (edges) of the image. Hence in order to enhance the quality of image, preserving the edges is necessary. This paper compares various image resolution enhancement techniques such as discrete wavelet transform (DWT), stationary wavelet transform(SWT), dual tree complex wavelet transform (DT-CWT), wavelet zero padding (WZP), cycle spinning (CS), Vector-Valued Image Regularization with Partial Differential Equations (VVIR-PDE), Inter Sub band Correlation Technique (ISC).
2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2017
Now a day's cloud computing is a fastest growing technology that are very demanded emerging t... more Now a day's cloud computing is a fastest growing technology that are very demanded emerging technology, that provided services like Infrastructure for organization that service comes under IaaS (Infrastructure as a Service), The Cloud is also provide platform for building application that service are known as a PaaS (Platform as a Service) & The cloud is also provide services online, for that you don't have to install any kind of software that service are known as SaaS (Software as a Service). The Salesforce is a reputed organization in the field of cloud computing, initially they start with CRM (SaaS Service). Now they also provided platform with the help of Force.com, Heroku. Force.com is provide platform for building pure native application with APEX language as a backend, the APEX language is same as a java language but syntax and functionality is some different compare to java. Salesforce provides security to protect data on cloud. This paper focus on Salesforce internal security, Two-Factor Authentication, Single Sign-On, OWD (Org. wise default setting), permission set, sharing rule, profile, role & field level security.
International Journal for Research in Applied Science and Engineering Technology, 2018
In Medical fields, the doctors use different types of imaging technologies among those Wireless C... more In Medical fields, the doctors use different types of imaging technologies among those Wireless Capsule Endoscopy is the one, it used to capture images from the patient body during examination time. Wireless Capsule Endoscopy is prevailing technology which is used by Gasterologist doctors to examine the human digestive system. During the investigation time, more than 57,000 images can be generated and then the doctor examines the images frame by frame to detect mucosal abnormalities (i.e Ulcer, Erosion, erthema, polyp, bleeding…etc). In fact, this is a boring and it takes a lot of time even for a skillful gastrologist doctor. In this paper, different existing abnormal image detection techniques are studied in detail. Recently, the Wireless Capsule Endoscopy (WCE) is an active research area in medical domain. Various research works have been done aiming to develop self-acting algorithms for abnormality detection using color, texture analyses, and other techniques. This paper more focuses on single abnormality detection techniques.
The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low res... more The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low resolution images. Nowadays super resolution images are used in many applications such as, satellite image, medical image etc. In resolution enhancement of images the main loss is high frequency contents (edges) of the image. Hence in order to enhance the quality of image, preserving the edges is necessary. This paper compares various image resolution enhancement techniques such as discrete wavelet transform (DWT), stationary wavelet transform(SWT), dual tree complex wavelet transform (DT-CWT), wavelet zero padding (WZP), cycle spinning (CS), Vector-Valued Image Regularization with Partial Differential Equations (VVIR-PDE), Inter Sub band Correlation Technique (ISC).
Journal of emerging technologies and innovative research, 2019
Now a day’s in India, about 70% of the people are in the agriculture system. Agricultural include... more Now a day’s in India, about 70% of the people are in the agriculture system. Agricultural includes harvesting of the plants, fruits, crops, etc on a large scale. Now, this harvested product should be disease free for healthy production further. Now, hereby diseases in plants cause major production and economic losses. The most standout cause of harm is attack of disease. Rural researchers and scientists assume an imperative job in identifying and discovering solution for plant sicknesses. Farmers experience great difficulties in detection and control on disease with naked eyes. In this paper we survey the need of basic plant disease detection that would facilitate in agriculture. This paper essentially incorporates strategies that utilization picture handling systems to distinguish the plant infections. It likewise incorporates the side effects of the illness in any piece of the plant. This paper displays the different computerized picture handling procedures and its correlation for...
International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018, 2018
Medical doctors use various types of technologies to analysis patient different organ like, Magne... more Medical doctors use various types of technologies to analysis patient different organ like, Magnetic Resonance Imaging, Computed Tomography (CT) scans, X-ray, Endoscopy and others to capture images from the patient body during examination time. Among those imaging technologies, Endoscopy is the most popular imaging technology which is used by most doctors to examine the human digestive system. During the examination time, more than 57,000 images can be generated and the doctor examines the images frame by frame to detect mucosal abnormalities. In fact, this is a tedious and time taking task even for an experienced gastrologist doctor. In this survey paper, different existing abnormal image detection techniques are studied in detail. Recently, detecting different types of diseases from the Capsule Endoscopy and conventional Endoscopy has been an active research area in medical domain. Most of the research has been done aiming to develop self acting algorithms to detect the disease sh...
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021
The total population is constantly growing, and it is important to have a satisfactory collectibl... more The total population is constantly growing, and it is important to have a satisfactory collectible environment. Monitoring crop yields and crop assessments are critical to the country's financial development. Crop collection considerations directly affects the socio-economic community and is expected to play a major role in food security and food security. Boundaries affecting critical crop yields, soil, water, and local harvesting parameters are referred to. In this study the learning-based models are widely used to differentiate critical harvesting characteristics. The proposed work constructs an LSTM-RNN-based LSTM-based RNN reinforcement model to move the learning balance necessary for Q-Learning Reinforcement count to calculate yield. Sequential downloads for LSTM and RNN are hosted by data limits. A straight layer indicates the LSTM-RNN yield relative to Q values. The help study manager joins a combination of parametric features with a hem that helps predict the yield. Finally, the manager gets the full score of the exercise performed by minimizing the error and increasing the accuracy of the gauge.
Uploads
Papers by brijesh vala