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Research and Reviews : Journal of Crop science and Technology

rrjocst | E-ISSN: 2319-3395 | Peer-Reviewed | Hybrid Open Access

About the Journal

Research and Reviews : Journal of Crop science and Technology Research & Reviews: Journal of Crop Science and Technology [2319-3395(e)] is a peer-reviewed hybrid open-access journal launched in 2012 focused on the publication of current research work carried out under Crop Science and Technology. This journal covers all major fields of applications in Crop Science and Technology.

View full focus & scope More

Research & Reviews: Journal of Crop Science and Technology [2319-3395(e)] is a peer-reviewed hybrid open-access journal launched in 2011 focused on the publication of current research work carried out under Crop Science and Technology. This journal covers all major fields of applications in Crop Science and Technology.

Journal Information

Title:
Research & Reviews : Journal of Crop science and Technology
Abbreviation:
RRJOCST
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2319-3395
Publisher:
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI:
10.37591/ RRJOCST
Starting Year:
2012
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301

Editorial Board

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rrjocst maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Mohammad Aslam Ansari, Professor

College of Agriculture, G. B. Pant University of Agriculture and Technology,, Uttarakhand, India,

Email :

Latest Articles

Multivariant Disease Detection from Different Plant Leaves and Classification

Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken.

Smart agriculture, detection of multivariate disease, fertilizers, rainfall, water requirement recommendations, Crop yield improvement

Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems

Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity.

Entomo-analytics, insect intelligence, climate monitoring, biodiversity, environmental sensing, ecological forecasting

Multivariant Disease Detection from Different Plant Leaves and Classification

Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken.

Smart Agriculture, Detection of multivariate disease, fertilizers, rainfall, water requirement recommendations, Crop yield improvement

Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district

This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques.

CNN, MobileNet, EfficientNet, Deep Learning, Plant Disease

IoT-Based Automated Crop Protection System for Smart Farming

The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques.

Agriculture technology, arduino, automated irrigation, blynk app, crop monitoring, IoT, pest control, precision agriculture, smart farming, sustainable farming

Crop Disease Prediction Using Image Processing

For any country in the world, its livelihood depends on agriculture.

CNN (Convolutional neural network), crop disease prediction, deep learning, image processing, machine learning

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