All articles
39 articles
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: 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. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Multivariant Disease Detection from Different Plant Leaves and Classification
Abstract: Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken. To maintain good quality of plant, the plant diseases should be identified and then given proper suggestions to farmers for specific fertilizers and pesticides to be used. The use of specific fertilizers or pesticides makes plant more health with good quality so that farmers can get …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–35 Read article
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Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district
Abstract: This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques. The primary objective is to identify, implement, and compare the efficacy of various deep learning architectures—including Convolutional Neural Networks (CNNs), MobileNet, and EfficientNet—for the real-time classification of diseases in key crops such as cotton, soybean, and sugarcane. A custom dataset of agricultural images specific to Maharashtra's …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 36–48 Read article
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IoT-Based Automated Crop Protection System for Smart Farming
Abstract: The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system's sensor array gets analyzed and controlled by an Arduino controller. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–8 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Utilization and Socioeconomic Impact of Biofuel Adoption Among Farming Communities in Fatehgarh Sahib, Punjab
Abstract: With the increasing consumption of energy and environmental issues, transformation toward renewable energy is being considered as a trend globally. Biofuels such as biogas and biodiesel provide potential alternative to fossil based fuel, particularly, in the rural parts of India, including Punjab. These clean sources, however, are not only contributing to environment but also have a potential to improve the rural economy by saving costs and having better health. Despite …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 38–45 Read article
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Response of Mung Bean (Vigna Radiata (L.) R. Wilczek) Varieties to Bradyrhizobium Inoculation at Gimbo District, Southwestern Ethiopia
Abstract: Globally, mung beans are grown in tropical and subtropical climates as an essential pulse crop. However, lack of appropriate nutrient management combined with the best responsive varieties is a major problem in enhancing productivity of mung bean. Thus, this field experiment was conducted in Gimbo district, Southwest Ethiopia, during the 2024–2025 rain-fed cropping season to evaluate the response of mung bean varieties to Bradyrhizobium inoculation. The treatments comprised factorial combinations …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 28–37 Read article
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Intelligent Water Distribution Management using IoT
Abstract: 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. Conventional methods like manual inspection are not only labor-intensive but also ineffective in identifying leaks promptly – emphasizing the need for a smarter and automated approach to water monitoring. To address this …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 18–27 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: 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. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Comparative Effectiveness of Various Fungicides in Managing Mustard Clubroot Disease Caused by Plasmodiophora Brassicae
Abstract: The experiment was accomplished to find out which fungicide or fungicides work best against clubroot disease and how well they protect mustard plants. It also looked at how these fungicides affect the yield and other important growth factors of mustard. The study took place in the research field and lab of the Plant Pathology Division at the Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), located in Jamalpur-2000, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–11 Read article
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Termite Mound Soil: A Potential Source of Biofertilizer in Koraput, Odisha
Abstract: Mass use of chemical fertilizers and extensive agriculture has reduced soil’s physiochemical properties and nutrient profile, generating crops with higher chemical residues, resulting unhealthy human population. Sustainable and cost effective nature friendly alternative methods of agriculture are the present need, to overcome the crisis. The study with Termite Mound Soil, TMS, in Koraput district of Odisha, India was performed to find nutrient composition and its potential as an ecofriendly, sustainable …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 40–47 Read article
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Optimizing Green Fodder Availability: Strategic Roadmaps for Sustainable Dairy Development in the Tropics
Abstract: The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming.The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming. Green fodder serves as a vital source of nutrition for dairy cows, directly influencing milk yield, animal health, and overall farm profitability. However, challenges such as limited …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 11–30 Read article
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The Role of Soil Quality Parameters in Enhancing Agricultural Productivity
Abstract: Thus one can define soil quality as a set of physical, chemical and biological properties of the surface layer of the Earth’s crust that affects agriculture production. In this study, some of the factors which are related to soil quality include pH, texture, organic matter content, nutrient availability and microbial activity that affect crop germination as well as yield. It looks at the way in which the soil factors influence …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 48–66 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Health Hazards of Benzene Exposure Among Petrol Pump Attendants in North Indian Cities
Abstract: Benzene exposure is an undisputed occupational risk, notably among petrol pump attendants who come in contact with fuel vapors. Chronic exposure to benzene is linked to several conditions, such as hematological disorders, respiratory issues, and increased cancer prevalence. This research aims to assess the health effects related to benzene exposure amongst petrol attendants in the northern cities of India. A cross sectional study was conducted at each petrol pump in …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 36–43 Read article
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Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "FertileData: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a user-friendly …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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Effect of Bacteria on Crude Oil Degradation in Loamy and Clay Soil for Water and Ethanol Biostimulant Extraction from Bryophylum pinnatum Leaf
Abstract: The effect of bacteria on crude oil degradation in loamy and clay soil for water and ethanol biostimulant extraction from Bryophylum pinnatum leaf was investigated to ascertain the potential of the bacteria counts in the bioreactors sampled. At the progressive phase, the bacteria counts were more with bioreactors induced with ethanol solvent extract as the volume of the dosage increases compared to the bioreactors induced with the water extract. The …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–25 Read article
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Enhancing Abiotic Stress Tolerance in Banana (Musa spp.) Using In Vitro Methods and Conserving Germplasm
Abstract: Both biotic and abiotic stressors are the main factors limiting banana output. Research on biotic stressors in bananas has received enough attention globally, whereas abiotic stressors receive less attention. Water availability, salinity, and a wide variety of temperatures are the main problems that must be resolved to maintain banana farming in the twenty-first century. Samples were introduced with water, salt and heat stresses in invitro condition. Under different stress and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 1, 2025 · pp. 9–15 Read article
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Crop Metabolism: A Biochemical Perspective on the Synthesis of Key Biomolecules and Structural Adaptations
Abstract: Crop metabolism involves intricate biochemical pathways that govern the biosynthesis of essential biomolecules, ensuring growth, development, and adaptability in various environmental conditions. Key processes include the synthesis of nucleic acids, amino acids, proteins, carbohydrates, organic acids, lipids, and natural products, each playing vital roles in maintaining cellular homeostasis. Nucleic acids drive genetic information storage and transfer, while amino acids and proteins form the backbone of enzymatic and structural cellular functions. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 1, 2025 · pp. 26–31 Read article