Search
236 articles for “inter cropping”
-
GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
-
A Review on Biological Control of Plant Pathogen
Abstract: AbstractFungi of the genus Trichoderma are biocontrol agents that are successfully used as biopesticides worldwide. Several species of Trichoderma are reported to produce secondary metabolites with antibiotic activity. It is well documented that the interaction of Trichoderma strains with the plant may promote growth, improve crop yield, increase nutrient availability, and enhance disease resistance. In addition, some species of Trichoderma are able to colonize root surfaces, interact with the plant, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 8, Issue 3, 2019 · pp. 24–27 Read article
-
Enhancing Irrigation Efficiency through Machine Learning and IoT Integration
Abstract: This study provides an integrated approach to enhance irrigation systems by fusing machine learning (ML) with Internet of Things (IoT) technologies. Agriculture is a major contributor to India’s economy, which is referred to as the backbone of the country. However, its production is highly dependent on several environmental and agronomic factors, with water being a critical resource. Irrigation consumes about 84% of the total available water in India; however, a …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 17–22 Read article
-
Environmental and Health Impacts of Rice Milling: A Case Study of Dinajpur Sadar Upazila, Bangladesh
Abstract: Rice milling plays a crucial role in Bangladesh's agricultural economy but contributes significantly to environmental pollution, affecting air, water, and soil quality, which in turn impacts public health and agricultural productivity. While prior studies have focused on immediate health effects like respiratory problems and reduced crop yields, they often overlook long-term consequences such as chronic diseases, soil degradation, and socio-economic impacts. Additionally, there is limited comparison between traditional and automated …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 18–28 Read article
-
Farmer’s Eye: A Sustainable Crop-Field Monitoring System
Abstract: This paper outlines the creation and implementation of an Internet of Things (IoT)-driven smart agriculture monitoring system. It aims to tackle major issues in agriculture, such as inefficient irrigation, excessive resource use, and a lack of real-time data. The system focuses on the Arduino Uno, which connects to a variety of sensors: soil moisture for measuring substrate conditions, DHT11 for monitoring ambient temperature and humidity, MQ135 for checking air quality, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 19–27 Read article
-
Machine Learning-based Peer-to-Peer Platform for Precision Agriculture in Crop Growth and Disease Monitoring
Abstract: Farmer suicides are a significant problem in India due to various circumstances. One of the main problems is the financial side of managing and growing crops while still trying to make a profit. This study proposes a decentralized platform for buying and selling agricultural produce by connecting farmers with individuals interested in investing in their fields and continuous monitoring of quality and crop health using IoT, Blockchain, and Machine Learning …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 26–39 Read article
-
Towards Reasonable Farming Waste Administration
Abstract: Agricultural substances are those substances that are produce on earth with the change of seasons. Basically these substances are produce in the nature and are very important for survival of animals and human beings who are consumers. These substances are widely available on earth can be a good source of energy or can be converted into useful products. The waste produced from the crop has excellent potential for energy conversion …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 8, Issue 2, 2019 · pp. 21–26 Read article
-
Advanced Irrigation System
Abstract: Advanced Irrigation System is an innovative agricultural technology designed to improve water management, increase crop productivity, and reduce human effort in farming. Conventional irrigation practices frequently lead to inefficient water use, non-uniform irrigation coverage, and unnecessary wastage of water resources. To overcome these limitations, an intelligent irrigation system has been developed by incorporating advanced technologies, including soil moisture sensors, temperature and humidity sensors, water level monitoring devices, Internet of Things …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 38–44 Read article
-
IoT Based Smart Aquaponics Plant Monitoring System
Abstract: A vast majority of the Indian population depend on agriculture as their primary occupation. Producingthe maximum amount of crops is an important thing in our country. In order to get plant growth, it ishighly crucial to exactly check the nutrient level in the soil mix. The given system of IoT-enabled soilchecking measures and observes the different soil factors. This system lessens the chances of soildegradation and helps to maintain crop’s …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 1, 2022 · pp. 7–15 Read article
-
AI and IoT for Precision Farming: Transforming Indian Agriculture
Abstract: Agriculture plays a crucial role in the global economy with the exponential rise in population. There is a parallel increase in the demand for food and employment exerting pressure on conventional farming methods. These traditional techniques are often inadequate in meeting current agricultural demands. Consequently, automation in agriculture has gained significant attention as an evolving field. The integration of artificial intelligence (AI) into agricultural processes has led to a transformative …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 7–15 Read article
-
Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
-
Harnessing the Potential of Insectivorous Birds in Managing the Rice Leaf Folder, Cnaphalocrocis Medinalis in Paddy Ecosystems of Kerala
Abstract: This study evaluates the effectiveness of various treatments for managing leaf folder pests in rice crops during the maximum tillering stage, focusing on the role of insectivorous birds. The treatments included bird perches (T1), nylon nets (T2), Bt spray (T3), a combination of bird perch and Bt spray (T4), flubendiamide spray (T5), and a control group (T6). Results indicated significant differences in pest densities. T2 showed the highest mean density …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 6–9 Read article
-
Study of Agro-Waste Management by Farmers in the State of Maharashtra
Abstract: India ranks second in the world in farm produce. Indian economy depends substantially in Agriculture, thus indicating the importance of Farmers and Agriculture. Nearly 58 percent of the rural population in India depends on Agriculture as a primary source of living. India is the second largest producer of fruits in the world and the largest producer, consumer and exporter of spice and spice products. But after the production, there might …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 8, Issue 1, 2019 · pp. 24–29 Read article
-
Smart Crop Recommendation Using IoT Sensor for Precision Agriculture
Abstract: This study addresses precision agriculture, which leverages modern technologies to enhance farming efficiency and sustainability. This study proposes a Smart Crop Recommendation System using IoT sensors to optimize crop selection based on real-time environmental conditions. The system integrates multiple sensors, including a temperature sensor, flame sensor, soil sensor, moisture sensor, and LDR sensor, to monitor crucial parameters such as temperature, soil moisture, light intensity, and fire hazards. An Arduino microcontroller …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 29–41 Read article
-
Pre-extension Demonstration of Improved Taro with Newly Recommended Fertilizer Rate at Chaha District, Gurage Zone, Southern Ethiopia
Abstract: InEthiopia,agriculturehasthepotentialtoaccountforarelativelylargeshareoftheGrossDomesticProduct,buttheproductivityofthissectorlagsbehindthecountry'spotential.One of the reasonsforthisisthelackofrecommendedfertilizerratesforcrops like taro.Therefore,this study aimedtodemonstrateimprovedtaroatthenewlyrecommendedfertilizerratesintheChahaDistrictoftheGuragezoneduringthemainharvestseasonof2021.The Districtwasdeliberatelyselectedbasedonthetechnicalgapsof farmers on the crop production.20farmersfrom2 kebeles,BoraandJato,wereselectedbasedontheirwillingnessandlandavailability.57farmersand11stakeholders with a total of 68 participantsweretrained.Itwasplantedin70cmb/nrowsand50cmb/nplantspacingataseedrateof30kg ha-1.ForthedemonstrationplotusingthenewrecommendedfertilizerrateNPS: 242 kg ha-1 and UREA: 180 kgha-1applied.Allrecommendedfarmingpracticeswereappliedequallytoallplotsandthefieldswerecarefullyandproperlymanaged.Datawerecollectedthroughmeasurements,interviewswithfarmers,andphotographs.Yieldand farmer’s preferencedatawerequalitativelyanalyzedusingmean,percentage, andfeedbackdata.Theaverageyieldsattonha-1fortarowiththenewrecommendedrateoffertilizerwere4.56and4.49,andwithoutfertilizerwere2.68and2.54forBora and Jato Kebeles respectively.Tuberyield,plantheightandearlymaturitywerecommonselectioncriteria,althoughtherewas a slightvariationinthecriteriaestablishedinthetwoKebelesbyfarmers.Inallkebeles,improvedtaro with newly recommended fertilizer rateoutperforms improved taro without fertilizer. The Benefit Cost Ratio result also showedthatusingimproved taro with a newly recommended fertilizer rate was moreprofitablethanusingwithoutfertilizer. So, using improved taro with newly recommended …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 11, Issue 3, 2022 · pp. 26–32 Read article
-
Study of Farming Techniques
Abstract: AbstractOver the last few decades farming has become an unviable activity. Indian farmers are increasingly finding themselves in a vicious cycle of debt, because of the high production costs, high interest rates for credit, the volatile market prices of crops, the rising costs of seeds, fertilizers and pesticides, etc. This paper looks into different farming techniques such as chemical farming, organic farming and natural farming.Keywords: Zero budget natural farming (ZBNF), …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 7, Issue 1, 2018 · pp. 4–8 Read article
-
Qualitative and Quantitative Yield in the Radish Crop Through the Utilization of rhizobacteria, Pseudomonas trivialis (L) and Earthworm, Eudrilus eugenae (L).
Abstract: The specific density of earthworm in soil and the microorganisms in soil are correlated with each other. The fruitful interactions among soil microorganisms and the earthworms in soil serve to orchestrate the process of improvement in the crop yield. The Pseudomonas trivialis (L) is a deleterious rhizobacterial species. This rhizobacterial species is recognized for the production of Indole Acetic Acid (IAA) (the plant growth promoting hormone). The present attempt deals …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 10, Issue 3, 2019 · pp. 17–33 Read article
-
IoT-Based Adaptive Irrigation Solution for Smart Farming
Abstract: Facing escalating global challenges such as water scarcity and unpredictable weather conditions, precision farming emerges as a crucial solution for enhancing agricultural productivity and sustainability. This paper introduces a smart irrigation system which employs IoT-based technology, integrating sensors and a designed to enhance water efficiency and boost agricultural productivity. The system leverages live data related to soil moisture and temperature, cloud cover, and precipitation, coupled with a cloud-based infrastructure using …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
-
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
-
Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture
Abstract: The Agrobot framework is a form of natural language processing that requires training to understand human language and meet user needs accordingly. The development of a chatbot tailored for the agricultural industry represents a significant advancement in agricultural technology. This chatbot serves as an interactive tool to assist farmers in various aspects of agricultural practices, including crop management, pest control, weather forecasting, and market information. The main objective of this …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 6–14 Read article