Deployment of 5G Technology for Sustainable Precision Agriculture in Ibaji Local Government Area of Kogi State | Chapter 3 | New Horizons of Science, Technology and Culture Vol. 7

 

The integration of 5G technology into smart and sustainable agriculture has the potential to revolutionise agricultural productivity and enhance food security in the Ibaji Local Government Area (LGA) of Kogi State, Nigeria. Food insecurity and malnutrition continue in the region because of outdated farming methods. These make food production susceptible to unpredictable rainfall, limited access to modern agricultural technologies, and unprofitable yields. Although 5G-enabled precision agriculture has been widely explored, only a few studies integrate 5G deployment with structured security threat analysis frameworks, such as STRIDE, particularly in smallholder farming contexts. This study assessed the potential of 5G-enabled Internet of Things (IoT) technologies for real-time tracking and automated control of resource (input) optimisation to improve farm resource (input) management and profitability. Using a mixed-method approach that included agricultural field surveys of local farmers and simulations of 5G sensors as agricultural technology for the Ibaji region in Kogi State, Nigeria, the Ibaji precision agriculture system was designed. The study analyses two primary use cases: Sensor-Based Monitoring and Automated Resource Management. For Field Surveys, 50 local farmers were surveyed to understand the primary agricultural problems and to assist in the validation of sensor placement. Additionally, a simulation-based system design was developed using Python to model 5G-connected sensors and actuators for real-time monitoring of soil moisture, nutrients, and pH levels. Results revealed that 5G technology for resource control and farm practice optimisation led to improved agricultural yields by 20% and resource management by 15%, demonstrating the potential of modern technology to alleviate food security challenges and resource poverty in the region. This study concludes that a basic 5G-enabled sensing and actuation stack, secured with minimal but critical controls, can improve yields and reduce input use in a resource-constrained smallholder setting such as Ibaji.

 

 

Author(s) Details

Felix Ayegba Sani
Computer Science Department, The Federal Polytehnic, Idah, Kogi State, Nigeria.

 

Ugbedeojo Musa
Computer Science Department, The Federal Polytehnic, Idah, Kogi State, Nigeria.

 

Please see the book here :- https://doi.org/10.9734/bpi/nhstc/v7/6963

Advancing Mechanization in Oilseed Crop Cultivation: A Comprehensive Review on Boosting India's Yellow Revolution Potential | Chapter 5 | Current Research Progress in Agricultural Sciences Vol. 4

Mechanization has a prime role as a force multiplier to compensate labour shortages and for carrying out the operation on time resulting in higher productivity. Mechanization serves the dual purpose of increasing productivity on the land that is already there and achieving higher land productivity by utilizing machinery as a complementary input. This chapter examines the role of mechanization in enhancing oil seed production in India, aligned with the self-sufficiency goals of the Yellow Revolution. It addresses challenges such as low yields and dependence on imports, emphasizing how mechanization can boost productivity, profitability, and efficient resource utilization. The chapter discusses specific mechanized techniques for various stages of cultivation, including field preparation, sowing, weed management and harvesting, focusing on crops like groundnut, castor, sunflower, rapeseed, soybean, and sesame. The wider adoption of mechanization is a vital strategy to achieve sustainable growth in oil seed production and reduce import reliance. Farmers should consider sustainable practices and environmental impacts when adopting mechanization in oil seed crop production. A combination of various machines, technologies, and precision farming techniques is needed for full mechanization.  

 

Author (s) Details

R. Rithiga
Department of Agronomy, Anbil Dharamalingam Agricultural College and Research Institute, Thiruchirapalli, Navalurkuttapattu – 620009 (Tamil Nadu), India.

 

S. K. Natarajan
Department of Agronomy, Tapioca and Castor Research Station, Salem, Yethapur-636119 (Tamil Nadu), India.

 

S. R. Venkatachalam
Department of Genetics and Plant Breeding, Tapioca and Castor Research Station, Salem, Yethapur- 636119 (Tamil Nadu), India.

 

S. Rathika
Department of Agronomy, Anbil Dharamalingam Agricultural College and Research Institute, Thiruchirapalli, Navalurkuttapattu – 620009 (Tamil Nadu), India.

 

R. Sivakumar
Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore- 641003 (Tamil Nadu), India.

Please see the book here:- https://doi.org/10.9734/bpi/crpas/v4/2387