Sarma, Hridesh Harsha and Das, Bikash Chandra and Deka, Tridisha and Rahman, Sofior and Medhi, Marjana and Kakoti, Mriganko (2024) Data-driven Agriculture: Software Innovations for Enhanced Soil Health, Crop Nutrients, Disease Detection, Weather Forecasting and Fertilizer Optimization in Agriculture. Journal of Advances in Biology & Biotechnology, 27 (8). pp. 878-896. ISSN 2394-1081
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Abstract
In the evolving landscape of modern agriculture, the integration of software technologies has become increasingly indispensable. These tools offer transformative capabilities that address the complexities and challenges faced by today's farmers. By harnessing the power of software applications, farmers gain access to sophisticated tools for precise planning, decision-making, and operational management. These applications facilitate precise management of farm operations, including crop planning, irrigation scheduling, and fertilization regimes, thereby optimizing resource use and enhancing productivity. Moreover, these tools provide real-time access to weather forecasts, pest and disease alerts, and market prices, enabling farmers to make informed decisions and mitigate risks effectively. Some of the common Softwares used by farmers are Meghdoot, Mausam, Plantix, FarmRise, Agrisetu, KisanSuvidha, Umang Pusha Krishi, Kisan Girdawari etc. Moreover, in an era where climate variability and market dynamics pose significant uncertainties, these technologies provide critical insights and support systems that empower farmers to navigate challenges effectively and seize opportunities for growth. As such, the adoption of agricultural software is not just a modernization effort but a strategic imperative to empower farmers and ensure the resilience and sustainability of global food systems.
Item Type: | Article |
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Subjects: | Science Global Plos > Biological Science |
Depositing User: | Unnamed user with email support@science.globalplos.com |
Date Deposited: | 05 Aug 2024 10:01 |
Last Modified: | 05 Aug 2024 10:01 |
URI: | http://ebooks.manu2sent.com/id/eprint/2735 |