Seed is the largest crop in the world and is a very usable crop in agriculture and widely cultiva... more Seed is the largest crop in the world and is a very usable crop in agriculture and widely cultivated. Seed grain is a worldwide essential food. It is the evolution of agriculture, and cultivating seeds for harvest was about 9,000 to 10,000 years ago. The scientific name of wheat seed is "Triticum". There are two types of seeds Monocotyledonous and the second is Dicotyledonous seed. Wheat seeds consist of a Monocotyledonous kind. In this review, we have studied seed viability. Viability means quality or health or state of being viable. Seed viability plays a very vital role in agriculture. We have also studied the Hyperspectral imaging tool. This paper overviews Seed viability, Hyperspectral Imaging technology, spectral signature, and some preprocessing and Classification techniques such as noise removal, image filter, SG, MSC, and SNV. A classification technique is used for separating various spectral classes. The seed viability used some testing such as a control test, co...
One of the key components in minimising losses has been using rainfall forecasts at various tempo... more One of the key components in minimising losses has been using rainfall forecasts at various temporal and spatial scales by businesses, governments, and farmers. Forecasts for other atmospheric characteristics are also important for agriculture. To maintain accurate weather forecasts, atmospheric procedures must be understood, measurements must be improved, and research and development must continue. India's Ministry of Earth Science (MoES) has many programmes and agencies, such as the India Meteorological Department (IMD), that strive to enhance forecasting. The efforts have culminated in fairly reliable predictions of rainfall patterns. This research aims to enhance prediction accuracy in different geographical areas ranging from weather subdivisions to agro-climate areas. We have used data that was obtained from the IMD, Pune. In the preprocessing techniques session, we transformed data from the txt format to the csv format. We have used Matlab software for data analysis. Inte...
–This paper reports the development of the soil spectral signature using Spectroradiometer form V... more –This paper reports the development of the soil spectral signature using Spectroradiometer form Visible Near Infrared, Short Wave Infrared and Mid-Infrared spectral reflectance of soil. Soil properties such as amount of carbon, nitrogen, phosphorus, potassium, sand, silt, and clay contains have been determined by using hyperspectral band models, in the wavelength band of 350-2500nm. Different mathematical models such as, Principal component analysis (PCA) and partial least square regression (PLSR) have widely been used to extract information regarding soil properties. This review article analyzes the reference work from 2005 to 2015.
This paper reports the development of the soil spectral library using Analytical Spectral Device ... more This paper reports the development of the soil spectral library using Analytical Spectral Device (ASD) FieldSpec 4 Spectroradiometer with 350-2500 nm wavelength band. In this experiment we have used visible and Near-infrared band. The particular instrument is used to analyze the chemical properties of soil such as Carbon (C), Nitrogen (N), Phosphorus (P), and physical properties of soil such as soil texture (sand, silt, clay) and moisture content. It is observed that physical and chemical properties can be analyzed using hyperspectral band. The database used for experiment have 80 samples of soil which are collected from Aurangabad, Jalna, Parbhani, Hingoli, Nanded, Lature, Osmanabad and Beed from Marathwada region of Maharashtra state with their GPS coordinates. Linear Discriminant Analysis (LDA) technique is implemented for classification of soil spectral signature of chemical properties. Soil texture of Marathwada region comes under the silt clay loam. We got the 100% accuracy of...
Skin disease cases are expanding every day and hard to deal with because of the worldwide unevenn... more Skin disease cases are expanding every day and hard to deal with because of the worldwide unevenness among skin disease patients and dermatologists, Skin infections are among the main 5 motivating reasons for the overall disease trouble, to decrease, CAD frameworks are greatly required, single skin disease characterization is the significant inadequacy in the current work. The characterization of various skin diseases is exceptionally tested because of the comparative attributes of skin illnesses. The pattern of skin infections will group skin condition details into one of the six non-covering groups such as healthy, acne, eczema, psoriasis, benign and malignant melanoma, etc. Four phases compose the proposed order structure, pre-processing, segmentation, feature extraction, and classification. To accomplish each stage, various digital image processing and machine learning techniques are used and achieving 90 to 95% accuracy using a Support Vector Machine. Result of CAD technique al...
International Journal of Advanced Remote Sensing and GIS
This paper reports the development of the soil spectral library using Analytical Spectral Device ... more This paper reports the development of the soil spectral library using Analytical Spectral Device (ASD) FieldSpec 4 Spectroradiometer with 350-2500 nm wavelength band. In this experiment we have used visible and Near-infrared band. The particular instrument is used to analyze the chemical properties of soil such as Carbon (C), Nitrogen (N), Phosphorus (P), and physical properties of soil such as soil texture (sand, silt, clay) and moisture content. It is observed that physical and chemical properties can be analyzed using hyperspectral band. The database used for experiment have 80 samples of soil which are collected from Aurangabad, Jalna, Parbhani, Hingoli, Nanded, Lature, Osmanabad and Beed from Marathwada region of Maharashtra state with their GPS coordinates. Linear Discriminant Analysis (LDA) technique is implemented for classification of soil spectral signature of chemical properties. Soil texture of Marathwada region comes under the silt clay loam. We got the 100% accuracy of Phosphorus content, where as Carbon and Nitrogen content found 75%, 87% respectively for Marathwada region.
Seed is the largest crop in the world and is a very usable crop in agriculture and widely cultiva... more Seed is the largest crop in the world and is a very usable crop in agriculture and widely cultivated. Seed grain is a worldwide essential food. It is the evolution of agriculture, and cultivating seeds for harvest was about 9,000 to 10,000 years ago. The scientific name of wheat seed is "Triticum". There are two types of seeds Monocotyledonous and the second is Dicotyledonous seed. Wheat seeds consist of a Monocotyledonous kind. In this review, we have studied seed viability. Viability means quality or health or state of being viable. Seed viability plays a very vital role in agriculture. We have also studied the Hyperspectral imaging tool. This paper overviews Seed viability, Hyperspectral Imaging technology, spectral signature, and some preprocessing and Classification techniques such as noise removal, image filter, SG, MSC, and SNV. A classification technique is used for separating various spectral classes. The seed viability used some testing such as a control test, co...
One of the key components in minimising losses has been using rainfall forecasts at various tempo... more One of the key components in minimising losses has been using rainfall forecasts at various temporal and spatial scales by businesses, governments, and farmers. Forecasts for other atmospheric characteristics are also important for agriculture. To maintain accurate weather forecasts, atmospheric procedures must be understood, measurements must be improved, and research and development must continue. India's Ministry of Earth Science (MoES) has many programmes and agencies, such as the India Meteorological Department (IMD), that strive to enhance forecasting. The efforts have culminated in fairly reliable predictions of rainfall patterns. This research aims to enhance prediction accuracy in different geographical areas ranging from weather subdivisions to agro-climate areas. We have used data that was obtained from the IMD, Pune. In the preprocessing techniques session, we transformed data from the txt format to the csv format. We have used Matlab software for data analysis. Inte...
–This paper reports the development of the soil spectral signature using Spectroradiometer form V... more –This paper reports the development of the soil spectral signature using Spectroradiometer form Visible Near Infrared, Short Wave Infrared and Mid-Infrared spectral reflectance of soil. Soil properties such as amount of carbon, nitrogen, phosphorus, potassium, sand, silt, and clay contains have been determined by using hyperspectral band models, in the wavelength band of 350-2500nm. Different mathematical models such as, Principal component analysis (PCA) and partial least square regression (PLSR) have widely been used to extract information regarding soil properties. This review article analyzes the reference work from 2005 to 2015.
This paper reports the development of the soil spectral library using Analytical Spectral Device ... more This paper reports the development of the soil spectral library using Analytical Spectral Device (ASD) FieldSpec 4 Spectroradiometer with 350-2500 nm wavelength band. In this experiment we have used visible and Near-infrared band. The particular instrument is used to analyze the chemical properties of soil such as Carbon (C), Nitrogen (N), Phosphorus (P), and physical properties of soil such as soil texture (sand, silt, clay) and moisture content. It is observed that physical and chemical properties can be analyzed using hyperspectral band. The database used for experiment have 80 samples of soil which are collected from Aurangabad, Jalna, Parbhani, Hingoli, Nanded, Lature, Osmanabad and Beed from Marathwada region of Maharashtra state with their GPS coordinates. Linear Discriminant Analysis (LDA) technique is implemented for classification of soil spectral signature of chemical properties. Soil texture of Marathwada region comes under the silt clay loam. We got the 100% accuracy of...
Skin disease cases are expanding every day and hard to deal with because of the worldwide unevenn... more Skin disease cases are expanding every day and hard to deal with because of the worldwide unevenness among skin disease patients and dermatologists, Skin infections are among the main 5 motivating reasons for the overall disease trouble, to decrease, CAD frameworks are greatly required, single skin disease characterization is the significant inadequacy in the current work. The characterization of various skin diseases is exceptionally tested because of the comparative attributes of skin illnesses. The pattern of skin infections will group skin condition details into one of the six non-covering groups such as healthy, acne, eczema, psoriasis, benign and malignant melanoma, etc. Four phases compose the proposed order structure, pre-processing, segmentation, feature extraction, and classification. To accomplish each stage, various digital image processing and machine learning techniques are used and achieving 90 to 95% accuracy using a Support Vector Machine. Result of CAD technique al...
International Journal of Advanced Remote Sensing and GIS
This paper reports the development of the soil spectral library using Analytical Spectral Device ... more This paper reports the development of the soil spectral library using Analytical Spectral Device (ASD) FieldSpec 4 Spectroradiometer with 350-2500 nm wavelength band. In this experiment we have used visible and Near-infrared band. The particular instrument is used to analyze the chemical properties of soil such as Carbon (C), Nitrogen (N), Phosphorus (P), and physical properties of soil such as soil texture (sand, silt, clay) and moisture content. It is observed that physical and chemical properties can be analyzed using hyperspectral band. The database used for experiment have 80 samples of soil which are collected from Aurangabad, Jalna, Parbhani, Hingoli, Nanded, Lature, Osmanabad and Beed from Marathwada region of Maharashtra state with their GPS coordinates. Linear Discriminant Analysis (LDA) technique is implemented for classification of soil spectral signature of chemical properties. Soil texture of Marathwada region comes under the silt clay loam. We got the 100% accuracy of Phosphorus content, where as Carbon and Nitrogen content found 75%, 87% respectively for Marathwada region.
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