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Research Article Open access CC BY 4.0

Customer Value Proposition for Precision Farming

Dharmik V. Sojitra, Chetan R. Dudhagara

Asian Journal of Agricultural Extension, Economics & Sociology · pp. 298–304 · Published 5 Jul 2023

10.9734/ajaees/2023/v41i92045

Abstract

A company's value proposition is established by the distinctive benefits and values it offers to its clients. Site-specific crop management (SSCM) and precision agriculture (PA) are farming management techniques that use technology to monitor and evaluate certain areas and crops. Between 2023 and 2030, the market for precision agriculture is anticipated to increase at a CAGR of 12.6%, reaching $15.6 billion. Precision farm planning, field maps, crop scouting, yield maps, and the estimation of input quantities are driving factors in this growth, along with the Internet of Things and advanced analytics.  A company's commitment to influencing the attitudes, beliefs, and behavior of its target market is stated in its value proposition. The goal of the study was to address agricultural issues and increase productivity and profitability for banana farmers in the Anand and Umreth Talukas. Educate stakeholders, decision-makers, and service providers on how to support precision farming techniques. The study, conducted in Anand and Umreth Taluka, Gujarat, involved 50 banana growers with over 2 ha of land, using a descriptive design and semi-structured survey. Formulating a customer value proposition for identifying the problems faced by banana growers will help in understanding the current issues and areas of improvement within the agricultural sector. The findings of this research were contributing to the knowledge and understanding of precision farming in Anand and Umreth Talukas. Customers place a premium on product quality, the accessibility of the sales staff, and price, while farmers must deal with issues including disease, weather, nutrition, insect pests, and irrigation. Irrigation was viewed as less significant than weather and illness, which were found the major problems in the study area. Decision-making in agriculture depends heavily on weather forecasts and practices. A substantial effort was needed to improve agricultural practices because of the influence of climate change, input market accessibility, and remote farm access.

Estimation productivity profitability weather nutrition pest and disease irrigation

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