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Displaying 1 - 3 of 3 results.

Potential of the Agricultural Value Chain Improvement in Pakistan

This paper analyzes the status of Pakistan’s agriculture in the world and quantifies the potential of improving productivity and quality of value chain at its different nodes. A great potential of expansion in the value chain of large number of agricultural commodities produced in Pakistan are observed. Just bringing the average crop yield levels at par to the world average yield can generate over US$11 billion additional revenues to the producers. Despite lower yield, majority of commodities have lower prices compared to the world average prices at the farmgate.

Sujet(s): 
politiques d'innovationsuivi et évaluation (S&E)processus multipartitespolitiqueschaînes de valeur...
Année de publication: 
2019
Auteur: 
Ali, M.
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Assessing indigenous and local knowledge of farmers about pollination services in cucurbit agro-ecosystem of Punjab, Pakistan

Being the ultimate beneficiary of ecosystem services provided by on-farm agricultural biodiversity, the participation of farmers in its sustainable utilization and conservation is crucial. How much aware they are with the significance and conservation of agricultural biodiversity in order to improve their crop yield remains unclear, especially from the developing courtiers. Pollination is one of such ecosystem services, enormously contributed by the wild bees.

Sujet(s): 
documentationConnaissance localeagriculture durable
Année de publication: 
2020
Auteur: 
Ali, M.Sajjad A.Farooqi M.A.Bashir M.A.Aslam M.N.Nafees M.Aslam M.N.Adnan M.Khan K.A.
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Factors Influencing Behavioral Intention of Farmers to Use ICTs for Agricultural Risk Management in Malaysia

The primary aim of this research was to examine the factors influencing behavioral intention of farmers to use ICTs for agricultural risk management. The past research reveals that many researchers had tried to determine factors affecting behavioural intentions of the respondents and TPB has been applied as technology acceptance model in various contexts. However, predicting behavioral intentions to use ICTs for agricultural risk management has not been evaluated from the actual field. Therefore, the data were collected from 360 farmers through multistage cluster sampling technique.

Sujet(s): 
Service de vulgarisationTIC (Technologies de l'information et de la communication)suivi et évaluation (S&E)recherche
Année de publication: 
2020
Auteur: 
Ali, M.Man, N.Muharam, F.M.Omar, S.Z.
Où est situé la ressource?: 
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