Kainjan Sanghavi | SPPU University, Pune, India (original) (raw)

Papers by Kainjan Sanghavi

Research paper thumbnail of Early Detection of Grape Stem Borer Using IoT

Advances in intelligent systems and computing, Jun 14, 2020

Grape stem borer is a serious threat to grapes due to its severe symptoms and loss of production.... more Grape stem borer is a serious threat to grapes due to its severe symptoms and loss of production. Traditional diagnosis of grape stem borer depends upon symptom identification, due to sensitivity limits of identification tools in vineyards. Grape stem borer prime indications are parching and sneering of affected branches. Recognition of the borer in early stages is a most challenging chore. This paper presents a novel system, utilizing sound sensor for detection of stem borer in grape vineyard using Internet of things. Foremost contribution of this work is a technique for early detection of stem borer pest based on IoT through an handheld device. The analytic solution detailed in this paper does not necessitate the farmer or any user to be an IoT expert in order to use it. The accuracy achieved for the identification of grape stem borer is higher than 90%. The system is envisioned to incorporate the significant advancements in communication technologies and wireless sensor networks.

Research paper thumbnail of Design of effective techniques for prevention and detection of grape diseases at real time using IoT and Image Processing

Research paper thumbnail of Video Retrieval : A Review

The significance of content based video retrieval has swelled out. Video retrieval aims at fetchi... more The significance of content based video retrieval has swelled out. Video retrieval aims at fetching videos from a video repository which are pertinent to the query in a flexible manner. Many algorithms and approaches have been designed for solving the problems of video retrieval, classification, and indexing. This paper provides an overview of current research in video retrieval and outline of areas for future research.

Research paper thumbnail of Design of effective techniques for prevention and detection of grape diseases at real time using IoT and Image Processing

Research paper thumbnail of Early stage detection of Downey and Powdery Mildew grape disease using atmospheric parameters through sensor nodes

Artificial Intelligence in Agriculture, 2021

Research paper thumbnail of Early Detection of Grape Stem Borer Using IoT

Grape stem borer is a serious threat to grapes due to its severe symptoms and loss of production.... more Grape stem borer is a serious threat to grapes due to its severe symptoms and loss of production. Traditional diagnosis of grape stem borer depends upon symptom identification, due to sensitivity limits of identification tools in vineyards. Grape stem borer prime indications are parching and sneering of affected branches. Recognition of the borer in early stages is a most challenging chore. This paper presents a novel system, utilizing sound sensor for detection of stem borer in grape vineyard using Internet of things. Foremost contribution of this work is a technique for early detection of stem borer pest based on IoT through an handheld device. The analytic solution detailed in this paper does not necessitate the farmer or any user to be an IoT expert in order to use it. The accuracy achieved for the identification of grape stem borer is higher than 90%. The system is envisioned to incorporate the significant advancements in communication technologies and wireless sensor networks.

Research paper thumbnail of REVIEW OF VARIOUS GRAPE DISEASES

Grapevine is a foremost vegetative disseminated berry with high global socioeconomic prominence. ... more Grapevine is a foremost vegetative disseminated berry with high global socioeconomic prominence. It is vulnerable to numerous graft-transmitted agents that cause several diseases and extensive crop fatalities, decreasing fruit quality, plant strength, and also reduce the durability of vines. The vegetative transmission and frequent exchanges of propagative material within countries contribute to unfold these pathogens, esteeming the development of multifaceted diseases. Its lasting life cycle further accelerates the blending and introduction of numerous epidemiologic agents into a single plant. At present, almost 65 viruses belonging to different families have been reported infecting grapevines, however, all do not cause economically significant diseases. Regrettably, there are several breeds of vine diseases that prosper in all circumstances. Bacteria and fungi are a source of most common grapevine diseases. Insects can also propagate viruses and harm roots. Ecological circumstances can cause mold development that inflicts disorder on grapevines in vineyards. Here, we review the recent knowledge of these viruses, report advances in their diagnosis and prospection of new species, and give indications about the management of the associated grapevine diseases.

Research paper thumbnail of Early Detection of Grape Stem Borer Using IoT

Advances in intelligent systems and computing, Jun 14, 2020

Grape stem borer is a serious threat to grapes due to its severe symptoms and loss of production.... more Grape stem borer is a serious threat to grapes due to its severe symptoms and loss of production. Traditional diagnosis of grape stem borer depends upon symptom identification, due to sensitivity limits of identification tools in vineyards. Grape stem borer prime indications are parching and sneering of affected branches. Recognition of the borer in early stages is a most challenging chore. This paper presents a novel system, utilizing sound sensor for detection of stem borer in grape vineyard using Internet of things. Foremost contribution of this work is a technique for early detection of stem borer pest based on IoT through an handheld device. The analytic solution detailed in this paper does not necessitate the farmer or any user to be an IoT expert in order to use it. The accuracy achieved for the identification of grape stem borer is higher than 90%. The system is envisioned to incorporate the significant advancements in communication technologies and wireless sensor networks.

Research paper thumbnail of Design of effective techniques for prevention and detection of grape diseases at real time using IoT and Image Processing

Research paper thumbnail of Video Retrieval : A Review

The significance of content based video retrieval has swelled out. Video retrieval aims at fetchi... more The significance of content based video retrieval has swelled out. Video retrieval aims at fetching videos from a video repository which are pertinent to the query in a flexible manner. Many algorithms and approaches have been designed for solving the problems of video retrieval, classification, and indexing. This paper provides an overview of current research in video retrieval and outline of areas for future research.

Research paper thumbnail of Design of effective techniques for prevention and detection of grape diseases at real time using IoT and Image Processing

Research paper thumbnail of Early stage detection of Downey and Powdery Mildew grape disease using atmospheric parameters through sensor nodes

Artificial Intelligence in Agriculture, 2021

Research paper thumbnail of Early Detection of Grape Stem Borer Using IoT

Grape stem borer is a serious threat to grapes due to its severe symptoms and loss of production.... more Grape stem borer is a serious threat to grapes due to its severe symptoms and loss of production. Traditional diagnosis of grape stem borer depends upon symptom identification, due to sensitivity limits of identification tools in vineyards. Grape stem borer prime indications are parching and sneering of affected branches. Recognition of the borer in early stages is a most challenging chore. This paper presents a novel system, utilizing sound sensor for detection of stem borer in grape vineyard using Internet of things. Foremost contribution of this work is a technique for early detection of stem borer pest based on IoT through an handheld device. The analytic solution detailed in this paper does not necessitate the farmer or any user to be an IoT expert in order to use it. The accuracy achieved for the identification of grape stem borer is higher than 90%. The system is envisioned to incorporate the significant advancements in communication technologies and wireless sensor networks.

Research paper thumbnail of REVIEW OF VARIOUS GRAPE DISEASES

Grapevine is a foremost vegetative disseminated berry with high global socioeconomic prominence. ... more Grapevine is a foremost vegetative disseminated berry with high global socioeconomic prominence. It is vulnerable to numerous graft-transmitted agents that cause several diseases and extensive crop fatalities, decreasing fruit quality, plant strength, and also reduce the durability of vines. The vegetative transmission and frequent exchanges of propagative material within countries contribute to unfold these pathogens, esteeming the development of multifaceted diseases. Its lasting life cycle further accelerates the blending and introduction of numerous epidemiologic agents into a single plant. At present, almost 65 viruses belonging to different families have been reported infecting grapevines, however, all do not cause economically significant diseases. Regrettably, there are several breeds of vine diseases that prosper in all circumstances. Bacteria and fungi are a source of most common grapevine diseases. Insects can also propagate viruses and harm roots. Ecological circumstances can cause mold development that inflicts disorder on grapevines in vineyards. Here, we review the recent knowledge of these viruses, report advances in their diagnosis and prospection of new species, and give indications about the management of the associated grapevine diseases.