Showing posts with label farmland. Show all posts
Showing posts with label farmland. Show all posts

Thursday, 16 December 2021

Geo-spatial Study of Farmland Affected by 2020 Flooding of River Rima, Northwestern Nigeria | Chapter 9 | Novel Perspectives of Engineering Research Vol. 4

 Flooding of the River Rima is an annual problem that affects farming in the floodplains. This phenomenon results in the loss of farm produce and the widespread devastation of structures in the area, including roads and bridges. Estimating the flood-affected farms will aid policymakers in making decisions on how to reduce the impact of floods in the impacted areas. The image was classified into four landcover classes using a Terra/MODIS satellite image with a 7-2-1 band combination. The flood-affected area was chosen to compute the flood area with the Image Calculator module of the QGIS programme. The water class was imposed (Map Overlay) on a digital elevation model collected from the Shuttle Radar Topography Mission, an environmental monitoring satellite (SRTM). The data shows that the River Rima flood covers approximately 17,517 km2, or 1.7 million hectares of agriculture below 230 metres (ASL). It was suggested that local governments and decision-makers utilise the flood map to indicate flood risk zones in order to discourage construction beyond the buffer zone. Farmers should follow NiMet's flood-prediction recommendations to the letter. Civil engineers should also note the greatest water level during flooding so that professional advise may be used when building roads and bridges in the area. If hydrological and environmental information are incorporated when performing projects, the loss of life and property during floods will be minimised.


Author(S) Details

Abdullahi Muktar
Department of Geography, Usmanu Danfodiyo University, Sokoto State, Nigeria.

Sadiq A. Yelwa
Department of Geography, Usmanu Danfodiyo University, Sokoto State, Nigeria.

Muhammad Tayyib Bello
Department of Civil Engineering, Usmanu Danfodiyo University, Sokoto, Nigeria.

Wali Elekwachi
Department of Geography, University of Nigeria Nsukka, Enugu State, Nigeria.

View Book:- https://stm.bookpi.org/NPER-V4/article/view/5109

Wednesday, 4 August 2021

A Study of the Adoption of Technology in Agriculture: Evidence from the Indonesian Paddy-Rice Farmer | Chapter 10 | Cutting-edge Research in Agricultural Sciences Vol. 12

 Due to the surge in housing, industrial, and public infrastructure needs, farmland has been in trouble. On the other hand, the global population continues to rise, and agriculture is responsible for food production. In that circumstance, agricultural mechanisation begins. As a result, the study will assess a broader picture of the determinants and barriers influencing rice-paddy farmer production factors before and after the farmer empowerment law was established, as well as explore the potential endogeneity of covariates in a household-level dataset. Using national farm household-level survey data from farmers in the five leading paddy rice producers from 2010 and 2016. Paddy-rice farming technology has enhanced agricultural production, according to the findings. Technology was viewed as endogenous, and age and training programmes were treated as additional technology instruments. Our findings demonstrate that older farmers (those over 60 years old) are less likely to employ current technology, and that training programmes are statistically significant in the farming industry.


Author (S) Details

Lukman Adam
Southwestern University of Finance and Economics, China and Parliamentary Expertise Agency of the Indonesian House of Representatives, Indonesia.

Jia Jin
Southwestern University of Finance and Economics, China.

Anwar Khan
Southwestern University of Finance and Economics, China.

Jamal Hussain
Southwestern University of Finance and Economics, China.

Tchapo Tchaga Sophia
Southwestern University of Finance and Economics, China.

View Book :- https://stm.bookpi.org/CRAS-V12/article/view/2371