Karbhari Kale

• Doctor of Philosophy
• Professor (Full) at Dr. Babasaheb Ambedkar Marathwada University

Surface soil type classification is essential to enhance food production in precision farming. However, soil classification is time-consuming, laborious, and costly through the traditional methods. Recently, artificial intelligence-based methods, especially machine learning, have played a vigorous role in soil classification and its mapping. Howeve...

Specifying surface soil types is vital for healthy agricultural management to enhance food production. Recent advancements in machine learning are essential in soil science, quantitatively predicting and classifying soil types. The current study concentrates on generating and testing the spectral library to classify surface soil types. It deals wit...

The current research explores the relationship between meteorological drought and land-cover changes locally via the normalized difference vegetation index (NDVI) and standard precipitation index (SPI). The historical time-series dataset of rainfall from 1981 to 2018 was used to compute the SPI, whereas the NDVI and land use/land cover (LULC) for t...

Crop yield estimation is one of the most significant issues for agricultural management, and one of the areas that precision farming techniques can offer the greatest benefit. Crop yield prediction is an art of forecasting the yield of crop before harvesting. Prediction of crop yield will be very useful for the government to make food policies, mar...

Biometrics is mostly used for authentication purposes in security. Due to the covid-19 pandemic situation, nowadays distance-based authentication systems are more focused. Face recognition is one of the best approaches which can use for authentication at distance. Face recognition is a challenging task in various environments. For that taking input...

The use of remotely sensed images in the agriculture sector plays a vital role in knowing crop status on a higher spatial scale. Researchers have developed various indices for this purpose. The Normalized Difference Vegetation Index (NDVI) is an important indices that measure the vegetation vigor of crop. The agricultural community has shown its us...

In remote sensing, hyperspectral images contain most of the information that can be processed to identify objects. Satellite imagery classification plays a key role in various object recognition systems. Satellite imagery classification requires a selection of suitable classification techniques based on the user's requirement. In this paper, two su...

Acquiring real-time agricultural information for monitoring the crops and their yield predictions are challenging tasks. The real-time data can be used as input to the crop monitoring and yield modeling. However, recording the real-time information for modeling and monitoring of crops is puzzling using existing platforms. The paper describes the de...

The enhanced capabilities of the remote sensing devices lead to capture more precise and accurate spatial and spectral information about surface materials. Increased spectral resolution results in more number of spectral bands and raises the challenge of data dimensionality. This high volume data holds plenty of redundant information. This redundan...

In the present paper, classification and analysis of complex land features on the combined outcome of the high spectral resolution Hyperion-Hyperspectral Remote Sensing (HRS) data and high spatial resolution Resourcesat-II Linear Imaging Self-Scanning System IV (LISS-IV) multispectral data were investigated. The traditional way of satellite image f...

The image derived hyperspectral endmembers fulfil the requirement of ground truth information required for supervised classification and spectral unmixing of the hyperspectral scenes. In hyperspectral images endmembers are very difficult to identify by visual inspection, since their population within the scene is significantly low. There are severa...

Traditionally, the earth surface features were collected by field visit for collecting the details of earth surface features with coordinates. However, the conventional method is slow tedious and costly. Recently, smartphone applications are providing the details of locations including latitude, longitude which is basically used for ground truth da...

An assessment of soil quality is vital for monitoring of crop growth and agricultural practices along with its management. Moreover, soil quality is essential to fulfill the requirements of agricultural as well natural resource planning. However, the conventional methods do not suffice to identify the Soil Macro Nutrients (SMN) which is useful for...

The procedure of recognition of plant species is very important in various application such as, classification of plant species along with yield estimation and present status. In the current study, we have carry out the analysis of anthocyanin (ARI) and xanthophyll (X) content of different types of plants with healthy leaves. The collected healthy...

This paper represents three main objectives of research, including (1) development of crop spectral library for diverse crops, (2) combination of two varying spectral responses for crop benchmarking, (3) interpretation of spectral features using Spectral Vegetation Indices (SVI). Hyperspectral sensors were used for spectral development including Ma...

Latent Heat Flux is the flux of heat from the Earth’s surface to the atmosphere that is associated with evaporation of water at the surface and subsequent condensation of water vapour in the troposphere. It is key component of global water and energy cycles. It also responsible for to maintain the salinity budget of the ocean surface. Prediction of...

Human head generates various signals according to the situation and activates inside the head as well as outside the head. The frequency of the Head Signal means that brain signal is different as per the level of action taken place by the person; it may be either be imaginary or motor imagery activities. From the brain signals imaginary signals are...

Globally, agricultural drought is the heterogeneous issue which causes the reduction of food production. The conventional methods have many limitations. Moreover, the use of multispectral remote sensing in drought condition monitoring possesses a limited spectral resolution which is insignificant for an understanding of water stress in the vegetati...

In the present work, the effort has been made to identify and distribute of surface soil types using high spatial resolution multispectral (HSRM) image investigated in two ways. First, multispectral data is classified based on conventional approaches. Second, a method based on gray level co occurrence matrix (GLCM) as spatial objects extraction of...

The advancements in hyperspectral remote sensing are increasing continuously and recording a wealth of spatial as well as spectral information about an object, but resulting high volume of data. Analysis and classificationof this high volumehyperspectral data needs a ground truth data or spectral library or image based endmembers which assist to un...

This study aims to assess classification accuracies of fused images obtained from IHS, GS, PC, CN, and Brovey fusion techniques. The study area is selected with a variety of land cover features to understand the effect of fusion. A layer stacked method has been experimented in which composite of bands 5, 4, and 3 of Landsat-8 image is resampled and...

This paper outlines the research objectives to investigate the approaches for assessment of vegetation water contents using hyperspectral remote sensing and moisture sensor. Water contents of crops monitor crop health for precision farming and monitoring. In the present research, spectral indices with some chemical extraction procedures were identi...

This paper outlines the research objectives to discriminate crop species using pure spectral-spatial reflectance of EO-1 Hyperion imagery. Vigorous encroachment in remote sensing unlocks the new avenues to investigate the hyperspectral imagery for analysis and implication for crop-type classification and agricultural management. The investigated cr...

The manual survey of drought severity is very hectic and time-consuming task. This paper reports the study to assess the adeptness of satellite-based drought indices for observing the spatiotemporal extent of agricultural drought events. The Land Use Land Cover (LULC) has been categorized into six classes such as Vegetation, Settlement, Barren land...

This paper reports application of Hyperspectral Remote Sensing (HRS) datasets to the soil taxonomy in Phulambri Taluka of Aurangabad district of Maharashtra, India. The preprocessing of imaging HRS dataset were carried out in three steps, the first removal of noisy and unwanted bands, second conversion of radiance value to reflectance value and fin...

This paper highlights the study regarding the classification of crop types using the techniques based on Gray Level Co-occurrence Matrix (GLCM) and support vector machine (SVM). The dataset used was from IRS-LISS IV sensor with 5.8 m spatial resolution having three spectral bands of date 4-October 2014 for our chosen location at 20°07′13.5″N 75°23′...

An accurate mapping of urban LULC is essential for urban development and planning. Although urban area represents a little portion of Earth surface, which brings an unbalanced impact on its surrounding areas. However urban LULC mapping and change detection is critical issue by traditional methods. Recent advances in Geospatial technology can be use...

Introduction: An accurate and reliable detection of soil physicochemical attributes (SPAs) is a difficult and complicated issue in soil science. The SPA may be varied spatially and temporally with the complexity of nature. In the past, SPA detection has been obtained through routine soil chemical and physical laboratory analysis. However, these lab...

The prediction of rainfall using ocean parameters useful to find out the effect of ocean on atmosphere and also observe the complex climate conditions. Weather data is non-linear data and it's a challenging task to handle a non-linear data for climate studies. The beauty of Artificial Neural Network model has it deals with non-linear data and from...

An identification of plant species is essential for many applications such as plant species classification along with its current status and yield estimation. In the present paper, we have investigated the analysis of chlorophyll content of three different types of plants with healthy & dry leaves (Synygium Cumini, Adhatola Zeylanica and Azadiracht...

Hyperspectral remote sensing has been widely used for identification of plant species. Hyperion hyperspectral satellite data with 10nm spectral resolution of Aurangabad region of Maharashtra (India) were studied for classification. Three various plants types have been selected from the hyperion image. SVM has achieved overall accuracy of 82.75 % wi...

In this paper we present a 3D Face and 3D Ear recognition process and techniques. We develop our own database of 3D Face and 3D Ear. In unimodal biometric system there are so many drawbacks like noise in sensed data, intra class variations, inter class similarities, non-universality and spoof attacks we overcome that drawbacks using multimodal biom...

Iris Recognition is a challenging problem. Numerous research contributions are available in literature related to iris recognition and feature extraction but the current trend of wavelet and multiwavelet for iris image feature extraction are given special attention in this book. This book covers the development of an iris recognition system to veri...

Quality and degradation of education affects more on upcoming youth consequently society as well on nation. Overall these consequences are come in to existing from childhood, thus new generation become inactive and unworthy. All this happen due to education system and inappropriate selection of school for their child. Parents are also not aware abo...

“Dracunculus medinensis” the Guinea Worm Disease (GWD) causing agent belong to the member of ‘Dracunculidae’ family. The infectious female nematode which is up to 800 mm (31 in) in length is the causative agent of the Guinea worm disease in the humans. Cyclops are the intermediate host of this infectious parasite. The healthy individual drinks or c...

This paper presents an efficient ear recognition technique which derives benefits from the local features of the ear and attempt to handle the problems due to pose, poor contrast, change in illumination and lack of registration. Recognizing humans by their ear have recently received significant attention in the field of research. Ear is the rich in...

A biometric system is important to a pattern recognition system that operates by acquiring biometric data from an individual, extracting a feature set from the acquired data, and comparing this feature set against the template set in the database. Multimodal biometric systems are becoming more popular; Fingerprint recognition is the most popular ph...

Drought is natural hazard which is caused due to shortage of rainfall. Among the natural hazards, drought is hard to find out because it grows gradually and have huge impact on nature, human habitat and economy. Many satellite based drought indices have so far been suggested for regional and national levels. Meteorological and satellite based indic...