Pea is a rich source of protein as well as income and employment in Jabalpur. Pea production is a highly good source of economic importance in Jabalpur. The study was conducted purposively from 2019 to 2020 in Shapura block of Jabalpur district, Madhya Pradesh (India) to find out the marketing behavior of pea farmers. A number of 120 pea farmers were selected in the Jabalpur district to bring to the fore the marketing behavior of pea farmers. The primary data were collected through a personal interview method with the help of a pre-tested interview schedule which was prepared based on the objectives of the investigation and variables. The statistical tests and procedures were used for analyzing the data with the help of statistical tools like mean, standard deviation, percentage, and Karl Pearson's coefficient of correlation. The result of the current study revealed that the majority of the respondents had a medium (53.33%) to a high level of marketing behavior.
Proximal remote sensing is a cutting-edge technology that has emerged as a powerful tool in precision agriculture and environmental monitoring. By capturing high-resolution data from a close range, it provides valuable insights into crop health, soil conditions, and ecosystem dynamics. This paper explores the applications, advantages, and limitations of proximal remote sensing, focusing on its use in precision agriculture and environmental management. The applications of proximal remote sensing in precision agriculture include crop monitoring, disease detection, and resource optimization. In environmental management, it aids in habitat mapping, biodiversity assessment, and environmental impact analysis. The advantages of proximal remote sensing lie in its high spatial resolution, real-time data acquisition, and flexibility in sensor selection. However, limitations such as limited coverage area and skill requirements need to be considered. The future perspectives of proximal remote sensing encompass advancements in sensor technology, automation, integration with other technologies, and enhanced data storage and analysis. By leveraging these advancements, proximal remote sensing can contribute to more sustainable practices and informed decision-making for a better and resilient future.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.