Author:
Bodar Jagdishkumar B.¹*, Mehul G. Thakkar² and Swati S. Sharma3
Journal Name: Biological Forum, 17(8): 99-105, 2025
Address:
1Research Scholar – MBA (Agribusiness Management), Navsari Agricultural University (NAU), Navsari (Gujarat), India.
2Major Guide, Professor in HRM and University Placement & Counselling Head, Navsari Agricultural University, Navsari (Gujarat), India.
3Associate Professor in ABM, Navsari Agricultural University (NAU), Navsari (Gujarat), India.
(Corresponding author: Bodar Jagdishkumar B.*)
DOI: https://doi.org/10.65041/BiologicalForum.2025.17.8.17
This empirical research study examines the brand preferences, purchase behaviour, and satisfaction levels of summer groundnut farmers towards insecticides in Jamnagar district, Gujarat. A structured survey was conducted covering 200 farmers across four Talukas to analyse their socio-economic characteristics, preferred insecticide brands, buying behaviour, and satisfaction levels. The findings revealed that the respondents were predominantly male, aged between 31 and 50 years, possessing secondary or higher secondary education, and mainly small to medium landholders with extensive farming experience. Groundnut farmers were highly aware of insect pests affecting their crops and relied significantly on insecticides to manage yield losses. Among the various brands, UPL insecticides were the most preferred due to their superior quality, effectiveness, and dealer recommendations, followed by brands like Bayer, Dhanuka, and Sumitomo. Purchase decisions were primarily influenced by factors such as product quality, performance, competitive pricing, and timely availability, while dealers remained the most trusted source of information. Most farmers purchased insecticides from local agro-input dealers using credit payments. The satisfaction assessment indicated high levels of satisfaction with UPL insecticides in terms of quality, availability, packaging, and effectiveness, while price was perceived as moderately satisfactory. Based on these insights, it is suggested that companies should focus on enhancing dealer networks, conducting frequent field demonstrations, and offering farmer-oriented training programmes to strengthen product knowledge and brand loyalty. Additionally, simplified marketing communication in regional languages can further enhance reach and adoption among groundnut farmers in Jamnagar district.
Brand Preference, Insecticides, Jamnagar District, Purchase Behaviour, Satisfaction, Summer Groundnut.
The agricultural input industry consists of essential products used in farming, including high-yielding seeds, fertilizers, and crop protection chemicals such as insecticides, herbicides, fungicides, and fumigants. These inputs play a vital role in enhancing crop productivity, improving quality, and reducing losses caused by pests, diseases, and nutrient deficiencies. According to the Food and Agriculture Organization (FAO, 2023), agricultural inputs are crucial for achieving sustainable food production and meeting the growing global demand for food and fiber.
India is one of the world's leading agricultural economies, with over 55% of its population engaged in agriculture and allied activities (ICAR, 2022). In 2024, the agricultural sector contributed approximately USD 1.20 trillion (INR 99.7 lakh crore) to the national economy and is expected to grow at a compound annual growth rate (CAGR) of 10.08% through 2033 (IMARC Group, 2024). This growth has driven significant demand for reliable and efficient agricultural inputs, particularly agrochemicals and fertilizers.
The Indian agrochemical market was valued at USD 33.17 billion in 2024 and is projected to grow steadily due to increasing pest pressures and the need for higher productivity (Grand View Research, 2024). Fertilizers continue to dominate the market, while crop protection products, especially insecticides, are gaining importance. India is the second-largest exporter of agrochemicals globally, with major companies like UPL, Rallis India, and Bayer Crop Science playing key roles (Expert Market Research, 2024).
In addition to chemical inputs, the Indian seed industry has expanded significantly, introducing hybrid and genetically improved varieties that support higher yields and pest resistance. Government initiatives such as "Make in India," e-NAM, and a ₹1.22 lakh crore allocation for agriculture in FY2025 are expected to further strengthen the input sector.
Rajani (2012) examined the purchasing behaviour of cotton farmers in Rajkot district using a sample of 140 respondents. The study primarily focused on understanding the decision-making process of farmers regarding seed purchases. It revealed that 69% of farmers purchased seeds from retailers, while 27% were influenced by media sources. Product quality (51%) and timely availability (64%) emerged as the most significant influencing factors. High prices (33%) and lack of availability (22%) were the main reasons for not purchasing certain products.
Chavda (2015) conducted a study on the buying behaviour, brand awareness, and farmer satisfaction towards Indofil fungicide in Junagadh district. The results showed that farmers were largely satisfied with the product's price and quality. Product quality was identified as the most influential factor in determining satisfaction. Effective field demonstrations and superior product performance led to high dealer recommendations and brand preference for Indofil.
Lokesh et al. (2015) investigated the factors influencing the selection of pesticide brands among farmers and dealers in the Kodad region of Telangana. Based on responses from 100 farmers, the study revealed that effective pest control was the top priority, followed by price and brand image. Other important factors included advice from progressive farmers, dealer recommendations, availability, promotional activities, and credit facilities.
Kulkarni et al. (2018) studied the purchasing behaviour of cotton farmers in Nanded district, Maharashtra. The study highlighted the significance of timely availability of seeds, technical advice, and guidance in variety selection. These findings emphasize the importance of service-oriented factors in purchase decisions.
Parmar (2019) explored farmers' satisfaction levels towards the Vesta herbicide using Likert scale analysis among 130 respondents. The study found high satisfaction with product quality and moderate satisfaction with factors such as price, brand image, and availability. Product quality was emphasized as the most critical factor shaping overall farmer satisfaction.
Rai and Kulshreshtha (2023) carried out research in Uttar Pradesh using multistage sampling to understand brand preference determinants in agrochemical purchases. The study ranked retailer recommendations, competitive pricing, and product quality as the top three influencing factors. Previous experience, brand popularity, and timely availability were found to have moderate influence on brand selection.
Zalavadiya and Mishra (2023) studied the awareness and brand preference of chickpea farmers towards pesticides in Junagadh district. The study employed Rotated Component Matrix analysis and identified four major influencing dimensions: perception about product, influence by others, price sensitivity, and ease of use. Variables such as brand image, dealer and peer recommendations, pricing, and accessibility significantly contributed to farmers' brand preference.
Senthilnathan et al. (2023) investigated agrochemical brand preference in Tamil Nadu based on field demonstrations conducted across seven districts. The findings showed a strong preference for specific insecticides and fungicides such as Rimon, Curzate, and Rodomil Gold, depending on the pest or disease targeted. Product effectiveness, quality, and cost were the primary reasons behind brand selection.
Manda et al. (2023) studied pesticide brand preference among farmers in Guntur district, Andhra Pradesh. The results indicated that dealer influence (mean score 2.76), price (2.69), and previous experience (2.55) were the major drivers of brand choice. The study also identified major problems such as high prices, unavailability, lack of credit, and limited technical guidance.
Sahoo et al. (2023) analyzed the purchasing behaviour and challenges faced by farmers and dealers in Keshod taluka, Junagadh district. The study highlighted that small and marginal farmer faced high insecticide costs and poor after-sales service. These factors adversely affected their satisfaction and purchasing patterns.
Srinivasa et al. (2023) examined the socio-economic status of groundnut farmers in Karnataka's Central Dry Zone. Rising labor costs and limited mechanization were identified as major challenges in groundnut cultivation. The study also employed Likert scales and chi-square tests to understand factors like seasonal wages and adoption of modern tools, which indirectly influence purchasing decisions related to agrochemicals.
Vasoya et al. (2023) conducted research on cumin farmers in Dhrol taluka of Jamnagar district to understand their insecticide purchasing behaviour and associated challenges. Most farmers were middle-aged with low educational levels and limited land holdings. Farming was the primary occupation, and many respondents relied on animal husbandry as a supplementary source of income. The study emphasized localized insights into pesticide use and farmer profiles.
Pravin et al. (2023) studied consumer behaviour and satisfaction towards herbicides among 130 farmers in Gujarat. Using Likert scale and multiple regression analysis, the study found that the majority of farmers expressed highly positive opinions on factors such as product quality (77.69%), price (79.23%), and packaging (90.00%). Overall, 86.92% of farmers had a highly favorable view of herbicides used in the region.
Bhalodiya and Thakkar (2024) reported that farmers' brand preferences were mainly influenced by dealers' recommendation. Higher prices and fear of adulteration were found to be the main constraints perceived by farmers in the purchase of cotton pesticides.
Dabhi and Thakkar (2024) found that most of the farmers got aware about fungicides from agro service centre and the most influencing factors for purchase of fungicides were found to be dealer recommendation followed by past experience and price. Constraints faced by most of the farmers were high cost of fungicides followed by lack of technical knowledge.
Zapda and Thakkar (2024) in their landmark study on awareness and purchasing behaviour of farmers towards insecticides for sesamum crop in Saurashtra region of Gujarat reported that farmers' brand preferences for specific insecticides were influenced by competitive pricing, past experiences, and the opinions of progressive farmers. Price sensitivity was significant, leading farmers to switch brands when prices were high, products were unavailable, or credit facilities were lacking. It was also found that farmers' choices were also strongly influenced by farmer meetings and field demonstrations.
Collectively, these studies underline the importance of product quality, price, timely availability, dealer influence, and product performance in shaping brand preference and purchasing decisions. Understanding these factors is crucial for agri-input companies and policymakers aiming to enhance farmer satisfaction and promote effective use of agrochemicals.
Research Gap: In nutshell, there have been plethora of research studies highlighting the factors considered important while making purchase decision for insecticides for different crops, associated buying behaviour of farmers, their usage pattern and the constraints. But, there is a dearth of empirical research on assessment of brand preferences, purchase behaviour and satisfaction of farmers towards insecticides for summer groundnut, particularly in Saurashtra region of Gujarat state; and this study is a sincere attempt to fill that void. In and all, this study stands out as a landmark study for developing thorough understanding about the brand preferences, purchase behaviour and satisfaction of summer groundnut growing farmers towards insecticides.
The research was conducted in Jamnagar district of Gujarat due to its significant role in summer groundnut production. The study employed a descriptive research design to understand various attributes influencing farmers' insecticide purchase behavior and brand preferences. It included both primary and secondary methods of data collection to ensure depth and accuracy. Primary data were collected through structured interviews with 200 summer groundnut farmers across four selected talukas. Secondary data were obtained from company records, published reports, academic journals, and official government sources related to agriculture and agrochemicals.
A multi-stage sampling technique was adopted for the study. In the first stage, Jamnagar district was selected purposively. In the second stage, four talukas Jamnagar, Dhrol, Jamjodhpur, and Lalpur were chosen randomly. From each taluka, five villages were selected randomly. In each village, ten farmers were selected purposively, leading to a total sample size of 200 respondents.
Data collection was carried out between March and May 2025. The personal interview method was used to gather accurate and firsthand information from the selected respondents. The interview schedule was designed to capture details regarding socio-economic characteristics, brand preferences, purchase behaviour, satisfaction levels. For analysis, the data were processed using tabular techniques and statistical tools such as percentages, and weighted average means. In addition, chi-square tests were applied to examine the relationships between variables such as landholding size and preferred pack size of insecticides, as well as preferred pack size and area under groundnut cultivation.
Overall, the study aimed to describe the current state of insecticide purchase behavior and brand preferences among summer groundnut farmers, using a combination of qualitative and quantitative tools to ensure comprehensive and meaningful analysis.
Socio-Economic characteristics of Summer Groundnut Farmers. The demographic and socio-economic characteristics of the 200 surveyed farmers revealed notable patterns relevant to agricultural practices in the study area. A majority (37%) of respondents were in the 41–50 years age group, followed by 27% aged 31–40 years, indicating that farming is predominantly undertaken by middle-aged individuals. All respondents were male, highlighting a complete absence of female participation and suggesting persistent gender disparities in agricultural involvement and decision-making. Most farmers (69%) belonged to nuclear families, potentially limiting access to family labor when compared to joint family structures (31%). In terms of farming experience, 51.5% of respondents had 11–20 years of experience, reflecting a moderately experienced agricultural community. The landholding structure was dominated by small (1.01–2 ha) and semi-medium (2.01–4 ha) farmers, comprising 39% and 34% of the sample respectively, indicating the prevalence of small-scale farming. Educational attainment was generally low, with 39.5% of farmers below SSC level, 32% having completed HSC, and 21% being illiterate. Income levels showed that 42% of respondents earned ₹4,00,001–₹6,00,000 annually, 33.5% earned ₹2,00,001–₹4,00,000, and 20% earned above ₹6,00,000, placing the majority in the mid-income bracket. All farmers practiced irrigated farming, yet none had adopted modern methods such as drip or sprinkler irrigation, relying solely on surface irrigation. Occupational data revealed that 54.5% of farmers were fully engaged in agriculture, while the remainder diversified into animal husbandry (23.5%), service (11.5%), or business (10.5%). Regarding crop-specific practices, 61% of farmers allocated 4.01–8 acres to summer groundnut cultivation, followed by 18.5% with 8.01–12 acres, indicating a moderate land commitment to this crop.
Table 1: Socio-economic characteristics of summer groundnut farmers.
Variable | Parameter | Frequency | Percentage |
Age group | 18–30 years 31-40 years 41-50 years Above 50 years | 23 54 74 49 | 11.50 27.00 37.00 24.5 |
Gender of Farmers | Male Female | 200 00 | 100 00.00 |
Type of family | Nuclear Joint | 138 62 | 69.00 31.00 |
Farming Experience | Below 5 Years 5 – 10 Years 11 – 20 Years Above 21 Years | 17 64 103 16 | 8.5 32.00 51.50 8.00 |
Land holding | Marginal (up to 1 ha) Small (1.01- 2ha) Medium (2.01- 4ha) Large (more than 4 ha) | 24 78 68 30 | 12.00 39.00 34.00 15.00 |
Education level of farmers | Illiterate Below SSC HSC Graduate Post graduate | 42 79 64 12 3 | 21.00 39.50 32.00 6.00 1.50 |
Annual Income of farmers | Below 1,00,000 1,00,001 – 2,00,000 2,00,001 – 4,00,000 4,00,001 – 6,00,000 Above 6,00,000 | 00 9 67 84 40 | 00.00 4.50 33.50 42.00 20.00 |
Type of Farming | Irrigated Rainfed | 200 00 | 100 00 |
Method of Irrigation | Surface Drip Sprinkler | 200 00 00 | 100 00.00 00.00 |
Occupation of Groundnut farmers | Only Agriculture Agriculture + AH Agriculture + Service Agriculture + Business | 109 47 23 21 | 54.50 23.5 11.50 10.50 |
Area under Summer Groundnut cultivation | Less than 4 acres 4.01- 8 acres 8.01 – 12 acres More than 12 acres | 18 122 37 23 | 9.00 61.00 18.50 11.50 |
Brand Preferences of Insecticides among Summer Groundnut Farmers. The study found that 92.5% of farmers were aware of various insecticide brands, with UPL–Ulala being the most recognized product (68%), followed by Swal–Panama (54.5%), FMG–Beleaf (49.5%), and Dharmaj (48.5%). In terms of usage, 46% of farmers reported using UPL–Ulala, making it the most preferred brand, while other brands like Dhanuka, BASF, and Adama were used by 20.5% collectively. Key factors influencing brand preference included competitive price (mean score: 3.81), product quality (3.76), prior experience (3.73), and the opinion of progressive farmers (3.68). Brand switching was mainly driven by lower price (42%), lack of credit facility (19.5%), and product unavailability. These findings suggest that farmers’ choices are primarily shaped by economic factors, personal experience, and peer influence.
Table 2: Factor influencing Brand Preference towards insecticides.
Factors | SA (5) | A (4) | N (3) | D (2) | SD (1) | CS | MEAN | RANK |
Quality | 78 (390) | 53 (212) | 29 (87) | 23 (46) | 17 (17) | 752 | 3.76 | II |
Brand loyalty | 55 (275) | 46 (184) | 38 (114) | 31 (62) | 30 (30) | 665 | 3.32 | VII |
Competitive Price | 82 (410) | 51 (204) | 31 (93) | 19 (38) | 17 (17) | 762 | 3.81 | I |
Timely availability | 65 (325) | 48 (192) | 37 (111) | 22 (44) | 28 (28) | 700 | 3.50 | VI |
Previous experience | 72 (360) | 62 (248) | 28 (84) | 17 (34) | 21 (21) | 747 | 3.73 | III |
Field officer/ Retailer influence | 69 (345) | 57 (228) | 25 (75) | 23 (46) | 26 (26) | 720 | 3.60 | V |
Progressive farmer opinion | 74 (370) | 56 (224) | 26 (78) | 21 (42) | 23 (23) | 737 | 3.68 | IV |
Sales promotional activity | 38 (190) | 49 (196) | 35 (105) | 42 (84) | 36 (36) | 611 | 3.05 | VIII |
Advertisement | 30 (150) | 51 (204) | 33 (99) | 47 (94) | 39 (39) | 586 | 2.93 | IX |
Note: Strongly Agree (SA): 5 Agree (A): 4 Neutral (N): 3 Disagree (DA): 2 Strongly Disagree (SD): 1
Cumulative Score (CS) = Maximum Scale × No. of Farmers
Mean = Cumulative Score (CS) / Total No. of Farmers (200)
Purchase Behaviour of Summer Groundnut Farmers Towards Insecticides. All surveyed farmers (100%) purchased insecticides exclusively from local agri-input dealers, indicating complete dependence on traditional retail channels with no adoption of online or cooperative sources. Awareness was primarily generated through agri retailers (85%) and progressive farmers (64.5%), followed by advertisements (55%), farmers’ meetings (47%), and field demonstrations (35%). Most farmers (52.5%) preferred credit-based purchases, while 25.5% used both cash and credit, and only 5% adopted digital payment methods. A majority had long-term experience with insecticides, with 34.5% using them for over 8 years. Purchasing frequency was highest at three (29.5%) and four times (24.5%) per year. Purchase decisions were influenced mainly by previous experience (mean score 3.89), followed by progressive farmers’ opinions and quality. Smaller pack sizes (60 gm and 150 gm) were most preferred, especially by farmers with smaller landholdings, indicating a direct relationship between land size and pack size preference.
Table 3: Association between pack size of Insecticides and land holding.
Land Holding/Pack size | 60 Gm | 150 Gm | 250 Gm | 500 Gm | Grand Total |
Marginal (<1 ha) | 28 | 2 | 0 | 0 | 30 |
Small (1.01-2 ha) | 23 | 8 | 1 | 0 | 32 |
Medium (2.01-4 ha) | 2 | 16 | 8 | 0 | 26 |
Large (>4 ha) | 0 | 0 | 2 | 2 | 4 |
Grand Total | 53 | 26 | 11 | 2 | 92 |
Chi Square Test | |||||
Chi square statistics value | df | Chi square table value (0.05) | |||
130.515 | 9 | 16.92 | |||
Table 4: Association between pack size of Insecticides and area under summer groundnut cultivation.
Area under summer groundnut cultivation/Pack size | 60 Gm | 150 Gm | 250 Gm | 500 Gm | Grand Total |
Less than 4acre | 14 | 2 | 0 | 0 | 16 |
4.01-8acre | 35 | 15 | 1 | 0 | 51 |
8.01-12acre | 4 | 9 | 8 | 0 | 21 |
More than 12acre | 0 | 0 | 2 | 2 | 4 |
Grand Total | 53 | 26 | 11 | 2 | 92 |
Chi Square Test | |||||
Chi square statistics value | df | Chi square table value (0.05) | |||
85.53 | 9 | 16.92 | |||
Level of Satisfaction of Summer Groundnut Farmers Towards Insecticides. The study revealed that farmers expressed high satisfaction with UPL insecticides, particularly regarding quality (mean score: 3.78), packaging (3.61), and brand image (3.51). Moderate satisfaction levels were noted for agri-input dealer support (3.38), availability (3.17), and price (3.02). Among the 92 farmers who used the UPL–Ulala brand, 81.52% reported that its performance and quality were superior to other brands, highlighting strong brand loyalty. Furthermore, 88% of the users recommended UPL products to fellow farmers based on their positive experience with its performance and quality. Regarding pricing perceptions, 47.5% of farmers considered insecticide prices to be high, 37% found them moderate, and only 15.5% perceived them as low, indicating that cost remains a concern for nearly half of the respondents.
Table 5: Satisfaction level of farmers towards UPL insecticides.
Satisfaction level of farmers | HS (5) | S (4) | MS (3) | DS (2) | HDS (1) | CS | Mean | Rank |
Dealer support | 29 (145) | 19 (76) | 15 (45) | 16 (32) | 13 (13) | 311 | 3.38 | IV |
Packaging | 35 (175) | 18 (72) | 17 (51) | 13 (26) | 9 (9) | 333 | 3.61 | II |
Availability | 25 (125) | 18 (72) | 14 (42) | 18 (36) | 17 (17) | 292 | 3.17 | V |
Price | 23 (115) | 20 (80) | 10 (30) | 16 (32) | 21 (21) | 278 | 3.02 | VI |
Brand image | 32 (160) | 17 (68) | 20 (60) | 12 (24) | 11 (22) | 323 | 3.51 | III |
Quality | 37 (185) | 21 (84) | 19 (57) | 7 (14) | 8 (8) | 348 | 3.78 | I |
Note: Highly Satisfied (HS): 5 Satisfied (S): 4 Moderately Satisfied (MS): 3 Dissatisfied (DS): 2 Highly Dissatisfied (HDS): 1
Cumulative Score (CS) = Maximum Scale × No. of Farmers
Mean = Cumulative Score (CS) / Total No. of Farmers (92)
Bhalodiya, Jony and Thakkar, Mehul, G. (2024). Brand Preferences and Satisfaction Level of Farmers and Dealers’ Preferences for Cotton Pesticides in Rajkot District of Gujarat. Biological Forum – An International Journal, 16(9), 85-91.
Chavda, M. R. (2015). Buying behaviour, brand awareness and farmers satisfaction towards Junagadh district. Unpublished Thesis MBA (ABM). Junagadh Agricultural University, Junagadh.
Dabhi, Divya, G. and Thakkar, Mehul, G. (2024). Awareness, Buying Behaviour and Constraints of Farmers for Fungicides in Botad District. Biological Forum – An International Journal, 16(8), 290-295.
Harish, M., Vani, S., Sarada, R. and Kumari, L.P. (2023). Identifying the factors influencing brand preference for pesticides in Guntur district. Aandhra Pradesh Jouranal of Agricultural Science, 9(3), 223-226.
Kulkarni, K. P., Chaudhari, S. L., Sharief, Z. and Ronitha, A. (2018). An analysis of purchasing behavior and problem faced by bt cotton farmers. Journal of Cotton Research and Development, 32(2), 311-315.
Lokesh, P., Samuel, M.P. and Seema (2015). A Study on factors influencing farmers and dealers while selecting various brands of pesticides. Unpublished Thesis MBA (ABM). College of Agriculture, PJTSAU, Rajendranagar.
Mathukiya, N. (2014). Socio-economic profile on cotton farmers in Junagadh district. Unpublished Thesis MBA (ABM). Junagadh Agricultural University, Junagadh.
Parmar, P. J. (2019). Consumer behaviour and satisfaction level of ‘vesta’ herbicide in Junagadh and Rajkot district of Gujarat. Unpublished Thesis MBA (ABM). Junagadh Agricultural University, Junagadh.
Pravin, P., Lakhlani, C. D. and Trivedi, S. M. (2023). Consumer behavior and satisfaction level towards herbicide in Gujarat state. Journal of Pharmacognosy and Phytochemistry, 9(3), 2058-2061.
Rai, A. K. and Kulshreshtha, K. (2023). Determinants impacting farmers' selection of various agrochemical brands of Uttar Pradesh. Journal of Advanced Zoology, 44(5), 2203-2209.
Rajani, D. V. (2012). Buying behavior of cotton farmers from Rajkot district. Unpublished Thesis MBA (ABM). Junagadh Agricultural University, Junagadh.
Sahoo, A. and Dudhagara, C. R. (2023). Purchasing behaviour and problems faced by farmers and dealers related to insecticide. Journal of Experimental Agriculture International, 45(8), 118-125.
Senthilnathan, S., Kaliraj, C. and Vinothkumar, B. (2023). A study on the significance of brand preference in agrochemicals among farmers in southern Tamil Nadu. International Journal of Chemical Studies, 8(4), 2800-2802.
Vasoya, R. R.; Vahoniya, D. R. and Rajwadi, A. (2023). Farmers’ purchasing behaviour of insecticides in cumin (Cuminum cyminum) and problem faced by farmers for cumin in Dhrol taluka of Jamnagar district, Gujrat, India. Asian Journal of Agricultural Extension Economics & Sociology, 41(9), 462-474.
Zalavadiya, D. and Mishra, S. (2023). Awareness and brand preference of chickpea growers towards selected pesticides in Junagadh District of Gujarat, India. Asian Journal of Agricultural Extension, Economics & Sociology, 41(9), 486- 494.
Zapda, Divyesh and Thakkar, Mehul, G. (2024). Awareness and Purchasing Behaviour of Farmers towards Insecticides for Sesamum Crop in Jamnagar District of Gujarat. Biological Forum – An International Journal, 16(9), 70-74.
Agrochemicals Policy Group (2023). Policy and regulatory landscape for the Indian agrochemical industry. Retrieved from https://www.apgindia.in
Agrochemicals Policy Group. (2023). Policy and regulatory landscape for the Indian agrochemical industry. Retrieved from https://www.apgindia.in
AgroPages (2024). India's agrochemical exports poised to double with rising demand. Retrieved from https://news.agropages.com/News/NewsDetail---52205.htm
DataBridge Market Research. (2022). India agrochemical market – industry trends and forecast to 2029. Retrieved from https://www.databridgemarketresearch.com/
Digital India Corporation (2024). E-agriculture and ICT tools for Indian farmers.
Retrieved from https://digitalindiacorporation.in
FAO (2023). World food and agriculture statistical yearbook. Food and Agriculture Organization of the United Nations. Retrieved from https://www.fao.org
FICCI (2023). Agrochemical industry report 2023: Policy support, R&D and sustainability. Federation of Indian Chambers of Commerce & Industry. Retrieved from https://ficci.in
Grand View Research (2024). India agrochemicals market size & trends. Retrieved from https://www.grandviewresearch.com/industry-analysis/india- agrochemicals-market-report
Global Agriculture (2024). India becomes more prominent in the export of agrochemicals. Retrieved from https://www.global-agriculture.com/crop- protection/india-becomes-more-prominent-in-the-export-of-agrochemicals/
IMARC Group (2024). India biopesticides market: Industry trends, share, size, growth, opportunity and forecast 2024–2029. Retrieved from https://www.imarcgroup.com
IndiaTimes. (2024). States with highest agrochemical consumption in India. Retrieved from https://www.indiatimes.com
Maximize Market Research (2024). India agrochemicals market: Challenges and investment trends. Retrieved from https://www.maximizemarketresearch.com
Rubix Data Sciences (2024). India’s agrochemical intensity and regulatory insights.
Retrieved from https://www.rubixds.com
TechSci Research (2021). India agrochemical market overview 2021–2026. Retrieved from https://www.techsciresearch.com
Bodar Jagdishkumar B., Mehul G. Thakkar and Swati S. Sharma (2025). Brand Preferences, Purchase Behaviour and Satisfaction of Farmers towards Insecticides for Summer Groundnut in Jamnagar District of Gujarat. Biological Forum, 17(8): 99-105.