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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.

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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

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

Response of Mung Bean (Vigna Radiata (L.) R. Wilczek) Varieties to Bradyrhizobium Inoculation at Gimbo District, Southwestern Ethiopia

Globally, mung beans are grown in tropical and subtropical climates as an essential pulse crop.

Bradyrhizobium inoculation, grain yield, improved varieties, mung bean, rain-fed agriculture

Utilization and Socioeconomic Impact of Biofuel Adoption Among Farming Communities in Fatehgarh Sahib, Punjab

With the increasing consumption of energy and environmental issues, transformation toward renewable energy is being considered as a trend globally.

Biofuel, biogas, farming communities, punjab, rural energy, socioeconomic impact, sustainable development

Intelligent Water Distribution Management using IoT

Water plays a vital role in agriculture, making its efficient management essential for sustainable crop production. However, undetected leaks in irrigation systems can result in significant water loss, irregular watering of fields, soil degradation, and reduced crop yield.

Buzzer, display screen (OLED/LCD), ESP32, instant alerts, IoT-based water leakage detection system, real-time monitoring, telegram notifications, water flow sensors, Wi-Fi connectivity

A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction

The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience.

Machine learning, precision farming, mango production, crop yield, predictive analytics, sustainability, real-time monitoring, disease detection, post-harvest optimization, satellite imagery, drone technology, soil fertilization, blockchain, agricultural resilience, climate change

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