Agricultural Situation Research Articles

AgriFusion: A Low‐Carbon Sustainable Computing Approach for Precision Agriculture Through Probabilistic Ensemble Crop Recommendation

ABSTRACTOptimizing crop production is essential for sustainable agriculture and food security. This study presents the AgriFusion Model, an advanced ensemble‐based machine learning framework designed to enhance precision agriculture by offering highly accurate and low‐carbon crop recommendations. By integrating Random Forest, Gradient Boosting, and LightGBM, the model combines their strengths to boost predictive accuracy, robustness, and energy efficiency. Trained on a comprehensive dataset of 2200 instances covering key parameters like nitrogen, phosphorus, potassium, temperature, humidity, pH, rainfall, and crop type, the model underwent rigorous preprocessing for data integrity. The RandomizedSearchCV method was employed to do hyperparameter tuning, namely improving the number of trees in the Random Forest algorithm and the learning rates in the Gradient Boosting algorithm. This ensemble approach achieves a remarkable accuracy rate of 99.48%, optimizes computer resources, lowers carbon footprint, and responds efficiently to a variety of agricultural situations. The model's performance is confirmed using metrics including cross‐validation, accuracy, precision, recall, and F1 score. This demonstrates how the model might improve agricultural decision‐making, make the most use of available resources, and promote ecologically responsible farming practices.

Mechanism and Methodologies of Seed Priming: Enhancing Germination and Crop Resilience

Due to its potential to improve seed germination and early seedling development, "seed priming" has garnered attention recently. This review article covers seed priming systems, their processes, and their many crop production purposes. Seed priming and its importance in seed performance are discussed. Seed priming methods include osmotic, hydro-, hormonal, and microbiological. Each technique is thoroughly detailed, including its procedures, requirements, and pros and cons. The molecular, physiological, and biochemical changes and priming substance-seed interactions of seed priming are examined. The article also discusses seed priming's benefits for stress tolerance, seed germination, seedling vigour, and sustainable agriculture. Most seed treatments use seed imbibition, which allows seeds to germinate but prevents radicals from reaching the seed coat. Dry, desiccation-resistant seeds can be stored until planting. Priming accelerates and synchronises future germination, and early seedlings from primed seeds are often more robust and resistant to abiotic stressors. Progressive farmers that want to boost agricultural productivity would benefit from this technology. This article discusses seed priming methods, mechanisms, and usage in various agricultural situations to boost crop productivity and seed performance.

Application of Artificial Intelligence and Image Processing for the Cultivation of Chlorella sp. Using Tubular Photobioreactors.

By integrating innovative technologies to enhance the efficiency and sustainability of production, this study specifies the establishment of a cutting-edge growing system for Chlorella sp. microalgae. Improvement of a system for the real-time, noninvasive observation and management of algae growth employing a closed tubular photobioreactor (PBR) engineered with computational fluid dynamics (CFD), combined with the Internet of things (IoT), artificial intelligence (AI), and image processing technologies was the major goal of this research. The fitting of seven types of sensors to identify key characteristics such as temperature, pH, light intensity, electrical conductivity (EC), flow rate, oxygen content, and light exposure duration was included in the research method. To manage the gaining of sensor data and system operations, an ESP8266 microcontroller was used as the main control unit, while 33 × 33 pixel images were taken with an ESP32 camera at 30 min intervals to assess growth by evaluating color intensity, enabling real-time evaluation of algal density without sampling or disturbing growth. Forecasting and enhancing farming situations was the goal of producing these machine learning (ML) models. Uniformly dispersed between 12 and 24 h light cycles, the data set comprised 602 samples. Considerable improvements were observed in the results for biomass productivity, with constant 24 h lighting yielding a 7.19% increase, counter to a 2.09% increase seen in the 12 h cycle. Temperature and light intensity are the most significant parameters for growth, as revealed by analysis of Feature Importance. The eXtreme Gradient Boosting (XGBoost) model showed remarkable effectiveness in terms of projecting growth, attaining an R 2 value of 0.9997 for the training data set. With important benefits for the development of renewable energy, food supply, and environmental modification in the future, this research highlights the competence of intelligent technology to strengthen microalgae production.

Sosialisasi Manajemen Kesehatan Kambing Perah serta Pengaruhnya terhadap Kualitas Susu pada Peternak Kambing Perah di Kecamatan Ampelgading dan Tirtoyudo Kabupaten Malang

Goat's milk is a food of animal origin that is easily damaged and requires handling after the milking process. Ampelgading and Tirtoyudo sub-districts are areas in Malang Regency where some of the population are dairy goat breeders. This community service aims to provide socialization and education on good animal health management so that it can improve the quality of goat milk. The activity began with collecting farmer data and analyzing the situation of dairy goat farming. The socialization method was carried out by conducting focus group discussions about knowledge of animal health management and checking the quality of goat milk. Milk composition testing uses Lactoscan, while organoleptic testing is based on Indonesian National Standard 01-2346-2006 concerning organoleptic and sensory testing instructions. The results of community service show that the quality of dairy goat milk in Ampelgading and Tirtoyudo Districts is premium based on the Thailand Agriculture Standard 2008. The results of the organoleptic test of goat milk have remained the same based on SNI 3141-1-2011 regarding the quality of fresh milk. The results of this goat milk quality test can be used as a basis for farmers to improve livestock management and milking. Through this activity, farmers can implement good livestock health management so that the quality of goat milk and the selling price increase. This activity will encourage young farmers to be more interested in becoming dairy goat breeders who have high economic prospects and contribute to increasing goat milk productivity. Apart from that, this activity can improve the welfare of farmers by improving the quality of goat milk with higher selling power.

Resource Use Efficiency and Constraints Faced by Potato Growers in Kannauj District of Uttar Pradesh, India

In the present paper, an attempt has been made to examine Potato cultivation in different categories of farmers in Kannauj district of Uttar Pradesh. Primary data was collect through personal interview by pre-structured and pre-tested schedule; the data was collect for the agricultural year 2022-23. A sample size of 100 farmers, marginal (61) Small (29) Medium (10) were interviewed form 5 village of Kannauj block in Kannauj district select the farmers by using the proportionate allocation method, with the data analysis, the result found that average holding size 0.84, 1.84 and 3.91 ha. in respect of marginal small and medium farm, respectively. In the case of potato, returns to scale of marginal, small and medium size group of farms were 0.8989, 0.8525 and 0.8280, respectively. Returns to scale in all three categories of the farms were found less than unity. It indicates the production of potato is characterized by decreasing returns to scale on each farm situation. Another factor of production i.e. manure and fertilizer was found significantly associated with dependent variable at 1% level probability in all farm situation. The problem related with hired human labour and technical knowledge was notice at I and II rank by the sample farmers (i.e. Unavailability of machines and tractor and Lack of improved varieties).

Agricultural Strategies of Young Farmers on Small-Scale Land in Sriharjo, Bantul

Abstract: The agricultural situation in the Special Region of Yogyakarta is becoming increasingly concerning. The number of farmers is declining, and young people are showing less interest in agriculture. This has led to problems with production output and a food security crisis. A solution to these challenges is to empower youth to engage in farming. The aim of this study is to identify groups of young farmers and the efforts made to address current challenges. The unit of analysis in this study is youth groups involved in farming activities on limited land. The research was conducted with a youth farming group called Taruna Tani Hijaunya Cinta in Sriharjo Village, Bantul. A case study design was employed, using in-depth interviews conducted both in person and via telephone. The research was carried out from January to June 2022, with limited observations and interviews due to the COVID-19 pandemic. To supplement the data, document and photo collection from the farmer group was also conducted. Thematic analysis was used to analyze various data sources. The findings of this study indicate that the majority of the group's members are children of farmers aged 17-35, with educational backgrounds ranging from secondary school to university students. The results show that the use of technology in farming, the development of social media for marketing, and the creation of agro-tourism have enhanced the competitiveness of young people in the agricultural sector, created new business opportunities, and stimulated local economic growth. For long-term sustainability, it is recommended that the government and educational institutions strengthen training and education programs for youth to enable them to continue innovating and adapting to market changes. Keywords: Limited Land Agriculture, Young Farmers, Youth

Legal and Economic Conditions for Running a Care Farm: A Polish Case Study

The purpose of this paper is to present the situation of Polish care farms in the context of legal and economic conditions. The need to analyze this topic arises from the current lack of literature that has synthetically addressed the challenges posed by the ageing population in the European Union, including in Poland. The research gap revealed by the authors is especially prominent when it comes to aspects related to the setting up and running of care farms in Poland. Therefore, this paper analyzes the legal forms of establishing a care farm. Next, it discusses the economic aspects of how care farms operate. Based on research materials, especially including those retrieved through the use of the formal dogmatic approach, the authors determined the formal conditions for the setting up and successive running of care farms. The authors have analyzed with the help of formal dogma the forms of running care farms in Poland referring to the current legislation, as well as the position presented in the literature. Also, due to the method used in analyzing the materials collected in this study, the authors have presented their views on how to finance such facilities. Findings from this research confirm that Polish care farms have promising outlooks as they respond to the changing needs of an ageing society. Moreover, as a result of the formal dogmatics method used, it was found that in Poland the most common form of running a care farm is an association. This is because the establishment of an association does not require the fulfillment of many legal criteria as is the case with a sole proprietorship. For this reason, those interested in starting a care farm may opt for the association form.

The Impact Analysis on Productivity Enhancement of Blackgram through Front Line Demonstration in Chandel District of Manipur State

Background: Blackgram is the major pulse crop cultivated all over the India. The crop is resistant to unfavourable weather patterns and helps in enhancing soil fertility. It is a significant component of the Indian diet since it provides vegetable protein and balances the diet. About 26 per cent of it is protein, which is nearly three times more than cereal and other vitamins and minerals. In addition, it is utilised as nutrient-rich fodder, particularly for dairy cattle. A significant obstacle to expanding blackgram production in Chandel district, Manipur State is the technology gap. Frontline demonstration (FLD), is one of the most significant and effective methods for technology transfer. By using the newest technologies, Krishi Vigyan Kendra Chandel’s interventions aim to boost productivity and production. Methods: The study on Blackgram var. PU-31 under rainfed farming situations of Chandel district, Manipur was carried out by ICAR-Krishi Vigyan Kendra-Chandel, during Kharif 2017 to 2022 with the objectives to increase production and productivity of pulse in the district conducted in the farmers’ field for 118 hectares of land with all the scientific package of practices. Result: The average grain yield of 776.50 kg/ha was obtained in the demonstration plot with 38.13 per cent increase in yield over farmers practices. The technological and extension gap were 723.50 kg/ha and 214.33 kg/ha respectively. Similarly, technological index was decreased from 50.33 percent to 44.53 percent during the study period, revealing satisfactory performance of technological interventions which can further be improved by bridging the gaps with more efficient research and extension services.

Productivity, Profitability and Yield Gap Analysis in Chickpea under Front Line Demonstration in Tungabhadra Command Area of Koppal District

Background: Front line demonstration in chickpea is to demonstrate and popularize the improved agro-technology on farmers’ fields of Koppal District under varied existing farming situations for effective transfer of generated technology and fill the gap between improved technology and adopted/indigenous technology to enhance the productivity. The average productivity of chickpea is low due to lack of improved agrotechnology, mostly grown under rainfed conditions and vulnerable attack of pests and diseases causing huge production losses. Therefore, in order to conduct/create awareness of front-line demonstration with improved agrotechnology’s for higher productivity and profitability in rabi chickpea. Methods: ICAR-Krishi Vigyan Kendra, Koppal (Karnataka) was conducted frontline demonstrations (FLD) for two consecutive years during Rabi seasons of 2021-22 and 2022-23 at farmer’s fields of Koppal district of Karnataka state. The data on productivity, yield gap analysis, per cent disease index and economics in demonstrated plots (DP) were compared with existing farmer’s practice (FP). Result: Two-year results concluded that 19.13 per cent yield increment was observed in the demonstration plot as compared to existing farmers practices. Use of improved methods of chickpea cultivation can reduce the technology gap to a considerable extent thus leading to increased productivity and profitability of farmers in the Koppal district under Northern Dry Zone of Karnataka.

The effect of political factors on agricultural land ownership and grain crops in Erbil Governorate 1975-1991

This research is entitled the impact of political factors on the ownership of agricultural land and cereal crops in Erbil province in 1975-1991. During the research, the agricultural situation in Erbil province was of special importance for economic development. These include the industrial and commercial sectors, as agricultural products have become an important resource used as raw materials in the industrial sector, in addition to agricultural activities and products have affected the movement and trade processes and exchange. Whether in domestic or foreign trade. Ownership of agricultural land in Erbil province has been under the influence of the Agricultural Reform Law to regulate and improve agricultural land. Based on several official government data and statistics obtained, the impact of political events in Iraq and Kurdistan on the ownership of agricultural land and grain crops in Erbil province between 1975-1991 is presented.

The approach to forming a model of state regulation for sustainable agricultural development at the regional level (on the example of Karaganda region)

Today, certain transformation processes are taking place in almost all spheres of public life in Kazakhstan. The dynamically growing need to ensure the sustainable development of the country persistently requires the country to take a fundamentally new approach to the issue of state regulation of sustainable development of agriculture. The functions of rural areas are diverse and extremely important, both in economic and social aspects. As a rule, a special place in them belongs to ensuring the country’s food security, reproduction of labor resources, preservation of folk traditions, unique national culture, and development of natural resources. There is no doubt that rural areas are a special place, as an entertainment, tourist, leisure, medical and recreational, resort, park, sports, possessing and providing a number of social services to the population. Rural areas are the basis for the location of production and maintenance of utilities (roads, power lines, oil and gas pipelines). In this regard, the development of agriculture is of particular importance and requires immediate improvement. This analysis is devoted to studying the needs and mechanisms for improving government regulation and support for the agricultural sector. In accordance with this study, the current situation and trends in agriculture at the regional level for the development of a system of state regulation of sustainable development of the agricultural sector, a conceptual model has been put forward, through a set of interrelated effects (socio-economic, environmental, technical, technological, organizational, biological, dynamic), which has a certain clear structure depending on the assigned tasks and goals of the functioning of agriculture, will allow the implementation of a set of measures to achieve a rational level of government influence on the agricultural sector of the economy for the purpose of effective development.

Agroecological Pathways of Family Farmers in Northern Uruguay

In Uruguay, to address the socio-environmental problems generated by the production model resulting from the Green Revolution, several civil society organizations promoted the creation of a National Agroecology Plan (NAP) in 2015. The enactment of Law No.19.717, declaring a general interest and establishing a National Honorary Commission and a National Plan for the Promotion of Production with Agroecological Bases, along with recent calls from the “Senda Agroecológica” initiative, provide a favorable scenario to envision new production systems with agroecological foundations and pose a challenge for agronomic research. Despite this law defining family farmers as its main beneficiaries and the majority being livestock producers, there are few studies on the role of their technical and organizational practices in agroecological transition and the definition of agroecology. To contribute to filling this gap, the research aimed to identify the role of these practices, both individually and collectively, in defining agroecology and its trajectory. A theoretical framework and methodology were developed to analyze the practices and strategies of family livestock farmers and their relationships with technicians. Situations of change were identified, such as tick biological control and natural field management, through interviews and group work with farmers and technicians. Agroecological transition trajectories were analyzed, considering the role of territories in coordinating actions among diverse actors and establishing new identities and action devices, such as public policies and institutional projects. Results at both individual and collective levels indicate multiple transition paths, dependent on the specific situation of farms and projects. The analyzed cases reveal diversity in transitions without any prevailing. The challenge lies in turning these transformations into drivers of processes towards a strong agroecology, requiring support, assistance and guidance actions in the implementation of public policies.

Physicochemical Analysis and Pollution Indices for Heavy Metal Assessment in Flooded and Non-flooded Soils of Obunagha, Bayelsa State, Nigeria

Soil samples from flood affected areas and non-affected areas of different farmlands in Obunagha, Bayelsa State, Nigeria; were collected for this study. The study was conducted to evaluate the physicochemical properties, and pollution indices of flooded and non-flooded farmlands to see if the flood had any effect in the fertility state of these soils. Atomic absorption spectroscopy (AAS) was used to identify and quantify the several heavy metals (Cd, Cr, Ni, and Zn) that were discovered in the collected soil samples. The findings indicated increased acidity since the pH of the soil varied between 4.8 and 5.7 in farmlands that were flooded and between 4.9 and 5.7 in farmlands that were not. In flooded areas, electrical conductivity ranged from 0.2x101 to 4x101 µS/cm, while in non-flooded areas, it was between 0.2x101 and 2x101 µS/cm. The cation exchange capacity in flooded farmlands was 0.16 to 0.24 meq/100 g, while in non-flooded farmlands it was 0.18 to 0.22 meq/100 g. Variations in metal contamination were found in different farming situations based on the contamination factor (CF) analysis. Chromium CF values ranged from 0.3 to 0.8 in both flooded and non-flooded farmlands, with certain non-flooded farmlands having slightly higher values. Cadmium contamination in flooded farmlands was much higher (25.5 to 43.7 CF) than in non-flooded farmlands (20.0 to 32.0 CF). Nickel contamination levels were from 0.7 to 1.1 in flooded farmlands and 0.5 to 0.8 in non-flooded farmlands, suggesting moderate pollution. Zinc contamination was consistently low throughout all circumstances, with CF values ranging from 0.2 to 0.4. According to the contamination factor average, Cd was followed by Ni, Cr, and Zn in decreasing order. The ecological pollution degree for the study area was low indicating no possible pollution by all the heavy metals. In conclusion, the study area is significantly contaminated with cadmium. Therefore, we urgently recommend monitoring the soil in the surrounding farmlands, particularly for cadmium, to prevent a potential environmental crisis.

The role of improving the business environment in agriculture in ensuring the country’s food security

Ensuring food security largely depends on a number of factors, including ensuring sustainable economic growth in agriculture and increasing production. Taking all this into account, it should be noted that improving the business environment in agriculture can play a significant role in preventing internal economic threats to food security. In all countries, regardless of the type and nature of the economic system, the state develops economic programs to ensure food security, and the main goal of these economic programs is, first of all, to improve the current situation in agriculture, achieve sustainable economic growth, as well as the implementation of measures aimed at increasing its productivity. In this regard, it should be particularly noted that a number of state programs aimed at providing the population with reliable food products are being adopted on an ongoing basis in the Republic of Azerbaijan. It should be noted that the formation of a favorable business environment in agriculture implies, first of all, free access of economic entities operating independently of their property ownership to the market of capital and investment resources, provision of necessary state support to commodity producers, providing them with a system of production, market and social infrastructure, as well as the ability to meet the needs of agricultural producers in material and technical resources on effective terms. All this also follows from the process of comparative advantages, but despite all this, the formation of a favorable business environment is important for improving the provision of necessary food, and all this makes the choice of the topic and, consequently, the relevance of the study an objective necessity.

THE STATE OF POLISH ORGANIC AGRICULTURE COMPARED TO OTHER EUROPEAN COUNTRIES

The study aims to assess the situation of Polish organic farming compared to selected European countries. Due to the complexity of these issues, a holistic approach to the topic was used. The research methodology is based on data obtained from three main sources: Research Institute of Organic Agriculture (FiBL), Central Statistical Office and literature studies. The results of the presented research indicate the development of the organic production sector in Poland, which is a positive phenomenon in the context of ensuring food security and promoting the culture of healthy food. Nevertheless, the analyzes conducted showed that Poland, although it has a significant area of organic products, has a small share of the area of these products in the total area of agricultural land, i.e. at the level of 3.5%, which is over 10 times smaller than the leader in this respect (Liechtenstein). Therefore, this result places Poland only at 27th position in the ranking compared to other European countries. At the same time, it indicates the need to promote organic farming practices in order to increase its importance in agricultural production in Poland. The analyzes conducted allow us to draw conclusions about the growing importance of agriculture and the organic market in Poland. The increase of expenses on organic food, trade, and involvement of producers and consumers in the organic sector is a promising trend, suggesting increased interest in and trust in organic products.

Serial cascaded deep feature extraction-based adaptive attention dilated model for crop recommendation framework

Effective crop farming depends on wise selection of crops. It is an essential factor that has to be fulfilled before beginning an agricultural endeavor. Conventionally, the crop that has to be grown is selected without considering the location and cultivated site’s characteristics by only considering its profit and demand on the market. Choosing the best crop for the circumstances can minimize the need for additional fertilizer and water for irrigation and help in attaining enhanced crop yield. Therefore, choosing the right crop is crucial for a successful agricultural situation. Thus, a novel crop recommendation model by considering the soil and geographical conditions is developed to aid the farmers in choosing the appropriate crop for the right condition so that the overall production can be enhanced to increase the overall profit and decrease the losses faced by the farmers. At first, a certain geographical area is selected, and the ideal parameters for growing a particular plant are gathered from the standard database. Next, the deep optimal features are extracted using a Serial Cascaded network in which an autoencoder is cascaded with a “Dimensional Convolutional Neural Network (1DCNN)” from the gathered data. The obtained deep features are optimally selected using the developed Modified Movement Territory of Fire Hawk Optimizer (MMTFHO). These optimally selected features are given to the Adaptive and Attention-based Hybrid Network (AAHNet) in which “Gated Recurrent Unit (GRU), and Long Short Term Memory (LSTM)” are utilized for choosing the right crop for the provided geographical condition. The parameters in the AAHNet are optimized using the same enhanced MMTFHO algorithm for improving the precision of the appropriate crop selection process. The final prediction of crops for the given geographical condition is obtained from the AAHNet. The final or overall rating of the recommended approach regarding accuracy metrics is 96.73%.

Exploration of the Application of Agricultural Intelligent Robots in the Qinghai-Tibet Plateau

In order to improve agricultural efficiency, reduce labor intensity, and improve the quality and yield of agricultural products on the Tibetan Plateau, this paper takes the application of traditional agricultural robots as an example and proposes the application of agricultural robots to agriculture on the Qinghai-Tibet Plateau based on the special breeding environment of the Qinghai-Tibet Plateau combined with the current situation of traditional agriculture. Through the application practice of robots in traditional agriculture, the possibility of the application of agricultural robots in the Qinghai-Tibet Plateau is pointed out, the working methods and advantages of robots in the Qinghai-Tibet Plateau are expounded, and the application of intelligent agricultural robots in the agriculture of the Qinghai-Tibet Plateau is discussed and analyzed. The results show that with the progress of science and technology, intelligent robots have gradually played an important role in various fields, and intelligent robots have broad application prospects in plateau agriculture. The application of agricultural robots in the Qinghai-Tibet Plateau should be aimed at the Qinghai-Tibet Plateau to make some adaptive research and development, intelligent upgrading and demonstration project promotion in order to promote the Qinghai-Tibet Plateau agricultural automation.

Inclusive innovation stems from environmental communication scholarship

Inclusive innovation stems from environmental communication scholarship

A Novel Approaches to Crop Variety Development for Sustainable Agriculture using Hybrid Machine Learning Model

The growing global population and changing climate need sustainable agriculture practices and new crop varieties. This study proposes a hybrid machine learning technique that combines linear regression and logistic regression to identify and extract unique traits from a broad range of crop species. The system integrates these qualities to create new crop types with a variety of benefits. The system begins by collecting detailed data on multiple crop species, including production potential, drought resilience, disease tolerance, nutritional content, and adaptation to different climates. Preprocessing ensures data quality. The hybrid machine learning algorithm uses the revised dataset. Linear regression identifies variables with strong connections with the required attributes, making it easier to find good candidates for the new crop variety. Logistic regression analyzes categorical data, including disease resistance genes and nutritional variables that affect crop quality. The method efficiently identifies and ranks the best characteristics across varied crop species by combining regression model findings. The traits have been strategically combined to create a pioneering cultivar that optimizes crop productivity, robustness, nutritional composition, and versatility while reducing vulnerability to pathogenic diseases and ecological challenges. The innovative crop variety is tested in various agricultural situations to determine the system's effectiveness. The topic under inquiry is compared to current kinds in terms of yield, quality, and sustainability. This unique hybrid machine learning technology may combine the best qualities from multiple sources to develop cutting-edge agricultural cultivars. The system's speed and accuracy in identifying beneficial traits promotes sustainable agriculture by reducing monospecific breeding and increasing crop resilience to environmental challenges. This work advances global food security and resource-efficient crop varieties.

Integrated Crop Management Practices on Yield and Economics of Brinjal at Tiruvallur District of Tamil Nadu, India

The present study highlights the Integrated crop management in brinjalfor their yield and economics. A field experiments was in tiruvallur district of ICAR-Krishi Vigyan Kendra during 2017-2018. The implementation of scientific technology through optimal resource utilization is the primary driver for horticulture's development. Due to a lack of acceptance of cutting-edge technologies, low production is one of the main obstacles facing conventional brinjal cultivation. Frontline demonstration's primary goals were to persuade farmers to adopt brinjal production technologies in order to facilitate the wider spread of newly released crop production, protection, and management practices in their fields and farming situations, as well as to demonstrate these technologies in action. To increase the production, productivity and quality of agricultural produce, front line demonstrations are being conducted at various farmer’s field. There was significantly increased in brinjal yield (36.7 per cent), net return and B:C ratio after conduct of frontline demonstrations as compared to farmers practice. The adoption and implementation of integrated crop management practices through FLD programme, showed positive impact on brinjal growth, yield and economics. Demonstration plot recorded higher technology gap (22.0 t/ha), extension gap (6.0 t/ha) and technology index (36.6 per cent), compare to local variety and also showed high percentage yield increase over farmer’s practice and recorded 20 per cent increase yield means technology was accepted by the farmers.As a result, 50 farmers initiated the small scale farming of brinjal in the district with the technical guidance provided from ICAR-KVK, Tirur, Tiruvallur. Therefore, a study on effect of integrated crop management practices on yield and economics of Brinjal in Tiruvallur district of tamilnadu was conducted during 2017-18.