Results 101 to 110 of about 643,688 (353)

Do outgrower schemes enhance technology adoption and productivity? Evidence from maize farmers in Northern Ghana

Agribusiness, EarlyView.
Abstract Nucleus outgrower schemes are contractual arrangements where well‐resourced large‐scale farmers (nucleus farmers) are empowered by development support agencies to take charge of smallholder farmers, by providing them with market access and the necessary training on agronomic practices and farm inputs for production.
Dominic Tasila Konja, Awudu Abdulai
wiley   +1 more source

Development of a PCA-based land use/land cover classification utilizing Sentinel-2time series

, 2022
Randa S. Makar, Sahar A. Shahin, El-Nazer Mostafa, Wheida Ali, H Abdu, M Abedini, M Said, F Ahmad, A Ahmad, S Quegan, S Bhaskaran, S Paramananda, Maria Ramnarayan, P Bolstad, T Lillesand, A Dadon, M Mandelmilch, E Ben-Dor, E Sheffer, S Deb, R Nathr, V Desai, S Fonji, G Taff, I Jolliffe, J Cadima, C Li, L Zhou, W Xu, Sophia Rwanga, J Ndambuki, B Tripathy, S Sahu, M Prasad, B Vajsov, P Aastrand, X Zhu, Y Pan, J Zang, S Wang, X Gu, C Xu   +41 more
openalex   +1 more source

A multi-temporal phenology based classification approach for Crop Monitoring in Kenya [PDF]

, 2019
The SBAM (Satellite Based Agricultural Monitoring) project, funded by the Italian Space Agency aims at: developing a validated satellite imagery based method for estimating and updating the agricultural areas in the region of Central-Africa; implementing
Jahjah, M., Laneve, G., Luciani, R.
core   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

Agribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli, Simone Severini, Mauro Vigani   +2 more
wiley   +1 more source

JAGAN: A Framework for Complex Land Cover Classification Using Gaofen-5 AHSI Images [PDF]

, 2022
Weitao Chen, Shubing Ouyang, Jiawei Yang, Xianju Li, Gaodian Zhou, Lizhe Wang   +5 more
openalex   +1 more source

Global change of land use systems : IMAGE: a new land allocation module [PDF]

The Integrated Model to Assess the Global Environment (IMAGE) aims at assessing the state of the environment taking into account the effects of human activities.
Letourneau, A.P., Stehfest, E., Verburg, P.H.   +2 more
core   +1 more source

Land Use / Land Cover Assessment in Nagercoil town, Kanniyakumari District, South India [PDF]

, 2016
The present study revealed land use / land cover (LULC) changes during 1992 to 2015 using remote sensing and GIS tools. NRSC land use / land cover thematic maps were referred for classifying the LULC classification.
G, S. (Shafiullah)
core   +1 more source

Determinants of local food producer participation in state‐sponsored marketing programs: Evidence from Missouri

Agribusiness, EarlyView.
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley   +1 more source

Conceptualising quality early childhood education: Learning from young children in Brazil and South Africa through creative and play‐based methods

British Educational Research Journal, EarlyView., 2023
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright, Irene Rizzini, Malibongwe Gwele, Lynn McNair, Cristina Laclette Porto, Marsha Orgill, E. Kay M. Tisdall, Malcolm Bush, Linda Biersteker   +8 more
wiley   +1 more source

Classification and area estimation of land covers in Kansas using ground-gathered and LANDSAT digital data [PDF]

Ground-gathered data and LANDSAT multispectral scanner (MSS) digital data from 1981 were analyzed to produce a classification of Kansas land areas into specific types called land covers. The land covers included rangeland, forest, residential, commercial/
Anderson, J. E., Holko, M. L., May, G. A.   +2 more
core   +1 more source