Estimating Area and Production of Rice under Different Crop-cut Methods in Bangladesh

Kabir, Kabir; Paul, Dnr; Hossain, Mohammad Sajjad; Rahman, Nmf

doi:10.3329/brj.v20i1.30624

Cited by 7 publications

(7 citation statements)

References 1 publication

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“…This methodology focused on measuring losses and not on measuring the yield per hectare. Kabir et al (2016) provide different methodologies to measure the production of rice and to estimate the area 17 .…”

Section: 3mentioning

confidence: 99%

Food loss measurements in the rice supply chain of Olam Nigeria : Analysis of the pilot study results

Kok

Snel

2019

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Section: 3mentioning

confidence: 99%

Food loss measurements in the rice supply chain of Olam Nigeria : Analysis of the pilot study results

Kok

Snel

2019

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“…Furthermore, between 1975-76 and 2021, the average rice yield grew from 1.05 to 5.20 tons per hectare at the same rate as rice production (BBS, 2022). Adopting green revolution technology, such as modern rice varieties (MVs), has transformed the once-dubbed "Bottomless Basket" nation into a "Full of Food Basket" (Al Mamun et al, 2021;Kabir et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing Farmers’ Behavior Towards Modern Rice Varieties in Bangladesh

Islam,

Kamarulzaman,

Shamsudin

et al. 2024

MJAE

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The adoption of high-yielding agricultural technologies remains a promising strategy for achieving food security and poverty reduction in developing countries. With the innovation of green technology like seeds, fertilizers, and irrigation water, the productivity of land has increased significantly in Asian countries like Bangladesh. The high-yielding varieties of rice generate a yield gain of 15-20% over the conventionally bred varieties in general. Yet, despite strenuous government efforts, farmers’ adoption rates have remained low in Bangladesh compared to other Asian countries like India, China, and Vietnam. Therefore, this study was carried out to determine the factors influencing the adoption of modern high-yielding rice in some selected areas of the Mymensingh district in Bangladesh. A total of 510 smallholder rice farmers were randomly selected using a structured questionnaire. Descriptive analysis was used to evaluate the socio-demographic characteristics of farmers. The Tobit regression analysis was employed to figure out the factors influencing the adoption of modern rice cultivars. The results of the descriptive analysis showed that in the Boro season, about 64% of the area in the Mymensingh district was covered by modern high-yielding varieties. The outcome of Tobit regression indicated that variables such as farmers’ schooling, farm size, social membership, extension contract, training facilities, taste and preference, and yield capacity of new varieties were the significant and positive determinants to adopt modern rice cultivars, whereas farmers’ age, a distance of agricultural extension office, and fertilizer deficiency were significant but adversely associated with the adoption behaviour of the farmers. These findings recommended that rice breeders should emphasize the farmers’ preferences while developing varieties, as well as provide training, formal credit, trusted seed dealers, and membership access for spreading newly established HYV rice cultivars.

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“…In the developing world, subjective methods such as eye estimation, expert assessment, and farmer interviews are used (FAO 2017), but these traditional methods are imprecise. Ground-based methods utilizing crop cuts or Global Positioning System-enabled devices can improve the quality of estimates, but costs and resources are significant limitations when data is routinely needed (FAO 2016;Kabir et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Phenology-based delineation of irrigated and rain-fed paddy fields with Sentinel-2 imagery in Google Earth Engine

Torre

Gao

Macinnis‐Ng

et al. 2021

Geo-spatial Information Science

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Paddy rice agriculture is practiced in both rain-fed and irrigated ecosystems in the Philippines. However, small farms are prevalent in the region, and current satellite-based mapping techniques do not distinguish between the two ecosystems at farm scales. This study developed an approach to rapidly map irrigated and rain-fed paddy rice in Iloilo, Philippines at 10 m resolutions using Google Earth Engine. This approach used an ensemble of classifiers based on time-series vegetation indices to produce dry and wet seasonal maps for the entire province. Results showed a predominance of rain-fed rice areas in both seasons, with irrigated rice making up only onefourth of the total rice area. The overall accuracy was achieved at 68% for the dry season and 75% for the wet season based on ground-acquired points and very high-resolution imagery. The two types of paddies were classified at accuracies up to 87%. Furthermore, the land cover maps showed a strong agreement with the municipal statistics. The resultant maps complement current official statistics and demonstrate the prowess of phenology-based mapping to create paddy inventories in a timely manner to inform food security and agricultural policies.

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Estimating Area and Production of Rice under Different Crop-cut Methods in Bangladesh

Cited by 7 publications

References 1 publication

Food loss measurements in the rice supply chain of Olam Nigeria : Analysis of the pilot study results

Food loss measurements in the rice supply chain of Olam Nigeria : Analysis of the pilot study results

Factors Influencing Farmers’ Behavior Towards Modern Rice Varieties in Bangladesh

Phenology-based delineation of irrigated and rain-fed paddy fields with Sentinel-2 imagery in Google Earth Engine

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