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127 articles for “crop management”
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Measurement of Farm Efficiency in Agricultural Sector of India:A Study
Abstract: While the non-parametric production function is based on linear programming, the parametric production function is estimated using stochastic frontier analysis (SFA). The efficiency is assessed using a non-parametric technique known as Data Envelopment Analysis (DEA) (Charnes, Cooper, & Rhodes, 1978).. The primary benefit of the DEA technique is that it circumvents certain drawbacks of the parametric approach by requiring simply a little portion of a priori assumptions about the functional …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 Read article
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Kisan Mantra: Enhancing Farmer Productivity, A Web-Based Approach for Efficient Crop Harvesting and Problem Diagnosis
Abstract: India's agricultural sector faces persistent challenges, including limited access to expert guidance, difficulties in managing diverse datasets, unreliable weather forecasting, and a lack of real-time monitoring for farm activities and crop quality. Additionally, farm lenders struggle to obtain accurate insights into farm productivity and risks, hindering their ability to provide tailored financial solutions. The sector also grapples with underemployment among educated professionals, limiting their contributions to agricultural advancement. To tackle …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 71–87 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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Havoc of Papaya Mealybug (Paracoccus marginatus) and Its Management Strategies
Abstract: The papaya mealybug (Paracoccus marginatus) is a serious problem that affects mulberries, citrus, and papaya among other agricultural and horticultural crops. Originating in Central America, it has spread around the world and caused extensive harm because of its capacity to consume plant sap, which results in reduced crop yields, fruit drop, and chlorosis. In addition, the insect releases honeydew, which encourages the development of sooty mold, further impeding photosynthesis and …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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Advancements in Earth Observation Satellites: A Case Study of ISRO’s Missions
Abstract: Earth observation satellites are an essential tool for monitoring and understanding the Earth's environment, weather patterns, and natural resources. The Indian Space Research Organisation (ISRO) has launched several earth observation satellites over the years, contributing significantly to this field. ISRO's earth observation satellites include the Resourcesat series, Oceansat, Cartosat, and ScatSat. These satellites are equipped with various sensors and instruments, such as multispectral cameras, microwave radiometers, and scatterometers, which provide …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 37–48 Read article
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Nanotechnology: Effective Pesticide Solutions for Jawar Leaf Diseases
Abstract: Jawar (Sorghum), a staple food crop in many parts of the world, faces significant challenges from various leaf diseases that can drastically reduce yields and impact food security. Traditional pesticide application, while offering some protection, often suffers from limitations such as low efficiency, environmental concerns, and the development of pesticide resistance in pathogens. The application of nanotechnology is a viable option, presenting novel strategies to solve these challenges and revolutionising …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Assessment of Agricultural Potentials and Constraints of Natural Resources Management for Research Implementation in Gedeo Zone South Ethiopia Region
Abstract: This study aimed at assessing agricultural potentials and constraints of natural resources management for research implementation in Gedeo zone south Ethiopia Region. The result indicates that the use of organic and inorganic fertilizers was not efficient and the crop yield was decreasing from year to year. Use of organic fertilizer is for only high value crops of enset and coffee without determined rate. Farmers were not practiced organic fertilizers like …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 82–93 Read article
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An Intelligent Neural Networks Approach for Monitoring of Soilless Urban Farms
Abstract: Urban agriculture is increasingly recognized as a sustainable approach to addressing food security challenges in rapidly growing and densely populated cities. Conventional soil-based farming often faces limitations such as space scarcity, excessive water consumption, and environmental degradation. To overcome these challenges, soilless farming techniques such as hydroponics and aeroponics have gained significant attention due to their efficient utilization of space, reduced water requirements, and potential for year-round crop production. However, …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 31–37 Read article
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Study of Agriculture Using Drones in India: Evaluation of Feasibility, Impact, and Adoption Challenges
Abstract: Studies in India show that drone technology is revolutionizing agriculture by enabling precision farming, increasing crop yields, reducing costs, and improving sustainability. Key applications include using drones for efficient spraying, crop monitoring via multispectral sensors, soil health analysis, and optimized water management. Government initiatives like the "Kisan Drones" program are promoting adoption, supported by research that demonstrates significant benefits like yield increases and resource savings[1-3]. Figure 1 shows the usage …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 21–33 Read article
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IoT Based Weather Monitoring System
Abstract: The Internet of Things (IoT)-Based Weather Monitoring System is developed to provide accurate, real- time monitoring of essential environmental parameters, including temperature, humidity, and atmospheric pressure. The system integrates high-precision sensors with a microcontroller, enabling continuous data acquisition from the surrounding environment. Collected data is transmitted wirelessly to a dedicated IoT platform via an internet connection, allowing remote users to access and visualize the information through web or mobile interfaces. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 26–34 Read article
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Integrated Assessment of Soil Health Through Macronutrient Status and Physico-Chemical Properties in Selected Agricultural Blocks of Kangra District, Himachal Pradesh, India
Abstract: Soil health is a critical determinant of agricultural sustainability, particularly in ecologically sensitive Himalayan regions where intensive cultivation and heterogeneous landscapes influence nutrient dynamics. Balanced macronutrient availability, together with favourable physico-chemical properties, governs crop productivity, soil resilience, and long-term ecosystem functioning. Despite the agronomic importance of Kangra District (Himachal Pradesh), localized assessments integrating nutrient status with physico-chemical indicators across representative agricultural blocks remain limited. This study aimed to evaluate soil …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 27–33 Read article
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Impact of Phosphorus Application Rates on Yield and Yield Components of Common Bean (Phaseolus vulgaris L.) Varieties in Relation to Water Resources at Yabello, Southern Oromia, Ethiopia
Abstract: Common bean is a key legume crop with significant economic importance in Ethiopia, particularly in the southern region of Oromia. One of the primary constraints to common bean productivity in this region is the issue of soil fertility, which is exacerbated by water scarcity. This study was conducted to assess the impact of phosphorus (P) fertilizer rates on common bean growth and yield, as well as to identify sustainable management …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 20–31 Read article
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The Future of Farming with IoT-Operated Drones
Abstract: The integration of Internet of Things (IoT) technology with drone systems has revolutionized precision agriculture, offering innovative solutions to address the inefficiencies and environmental concerns linked to conventional pesticide application. This study explores the design, implementation, and impact of IoT-operated drones tailored for automated pesticide spraying. By leveraging real-time sensor data, AI-driven analytics, and cloud-based connectivity, these drones enable dynamic, data-informed decisions to optimize chemical application. Results indicate that IoT-enabled …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 20–26 Read article
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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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Effective Strategies for Sustainable Soil and Water Management: Enhancing Agricultural Productivity and Environmental Conservation
Abstract: Soil and water are essential natural resources, and their degradation due to erosion, overgrazing and other factors is ongoing. Water erosion is influenced by climate, topography, vegetation and soil, while wind erosion is affected by wind characteristics, surface features, topography and soil properties. Unsustainable land and water management practices lead to reduced soil fertility, soil loss, lower crop yields, water depletion, deforestation, and diminished biomass. Of the 1386 million cubic …
Published in International Journal of Land · Vol. 1, Issue 1, 2024 · pp. 11–36 Read article
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Solar Energy for Sustainable and Efficient Agriculture
Abstract: Agriculture is the mainstay of Indian economy and a sustainable agriculture the need of the hour. Today in the developing world where technology is dominating all aspects of life, agriculture is no longer untouched. It would be very right to say that agriculture and technology are going hand in hand and it’s the technological advancement which has taken agriculture at new heights. However technological advancements have their own disadvantages including …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 12–16 Read article
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Host Plant Affinity and Trophic Behavior of Lohita grandis name of author (Hemiptera: Largidae)
Abstract: Lohita grandis (Gray) , commonly known as the red cotton bug, is an emerging pest of cotton and several other economically important crops in India. Its sap-sucking feeding habit causes discoloration of fruits, reduction in seed quality, and yield losses, posing serious challenges to sustainable agriculture. The present study investigates the feeding behaviour and host plant preferences of L. grandis across diverse agroclimatic zones of India, with the aim of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 92–100 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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A Detailed Survey of Machine Learning Applications, Methods, and Future Prospects in Agriculture
Abstract: Agriculture is undergoing a digital transformation driven by machine learning (ML) and artificial intelligence. The integration of ML techniques with data from sensors, drones, satellites, and IoT devices has enabled precision agriculture, early disease detection, optimized resource use, and improved yield prediction. This paper presents a comprehensive review of machine learning applications in modern agriculture, covering key areas such as crop monitoring, soil analysis, irrigation scheduling, pest, and disease detection, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 39–45 Read article
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Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article