scholarly journals Reforming smallholder farms to mitigate agricultural pollution

Author(s):  
Yingliang Yu ◽  
Yu Hu ◽  
Baojing Gu ◽  
Stefan Reis ◽  
Linzhang Yang
2021 ◽  
Author(s):  
Yingliang Yu ◽  
Yu Hu ◽  
Baojing Gu ◽  
Stefan Reis ◽  
Linzhang Yang

Abstract China’s agriculture is dominated by smallholder farms, which have become major sources of negative environmental impacts including eutrophication, formation of haze, soil acidification, and greenhouse gas emissions. To mitigate these environmental impacts, new farming models including family farming, cooperation farming and industrial farming have emerged in recent years. However, whether these new farming practices would improve the economic and environmental performance as compared to the current smallholder farming has yet to be verified on ground level. In this paper, by using pilot farming cases within the watershed of Tai Lake, we found that alternative farming models produced 7% more crop yield, while using 8% less fertilizer, leading to an 28% decrease in pollutant emission per hectare. These alternative farming models have a 17% higher fertilizer use efficiency and 50% higher profit per hectare. Compared to smallholder farming, these alternative farming practices invest 27% more resources into agricultural facilities, including advanced machinery, and have a younger, better educated labor force as a consequence of a larger farm size and more specialization. These input changes substantially increase fertilizer use efficiency and reduce agricultural pollution. Policy arrangements to support and facilitate the uptake of these farming models will further promote the green development and sustainable intensification of agricultural production.


10.1596/29242 ◽  
2017 ◽  
Author(s):  
Emilie Cassou ◽  
Dai Nghia Tran ◽  
Tin Hong Nguyen ◽  
Tung Xuan Dinh ◽  
Cong Van Nguyen ◽  
...  

Nature Food ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 221-221
Author(s):  
Annisa Chand

2021 ◽  
Vol 13 (9) ◽  
pp. 4728
Author(s):  
Zinhle Mashaba-Munghemezulu ◽  
George Johannes Chirima ◽  
Cilence Munghemezulu

Rural communities rely on smallholder maize farms for subsistence agriculture, the main driver of local economic activity and food security. However, their planted area estimates are unknown in most developing countries. This study explores the use of Sentinel-1 and Sentinel-2 data to map smallholder maize farms. The random forest (RF), support vector (SVM) machine learning algorithms and model stacking (ST) were applied. Results show that the classification of combined Sentinel-1 and Sentinel-2 data improved the RF, SVM and ST algorithms by 24.2%, 8.7%, and 9.1%, respectively, compared to the classification of Sentinel-1 data individually. Similarities in the estimated areas (7001.35 ± 1.2 ha for RF, 7926.03 ± 0.7 ha for SVM and 7099.59 ± 0.8 ha for ST) show that machine learning can estimate smallholder maize areas with high accuracies. The study concludes that the single-date Sentinel-1 data were insufficient to map smallholder maize farms. However, single-date Sentinel-1 combined with Sentinel-2 data were sufficient in mapping smallholder farms. These results can be used to support the generation and validation of national crop statistics, thus contributing to food security.


Author(s):  
H Singh ◽  
Archita Sharma ◽  
Sanjeev Kumar ◽  
Shailendra Kumar Arya ◽  
Neha Bhardwaj ◽  
...  

Modern agricultural practices have triggered the process of agricultural pollution. This process can cause the degradation of the eco-systems, land, and environment owing to the modern-day by-products of agriculture. The...


2021 ◽  
Vol 13 (8) ◽  
pp. 4341
Author(s):  
Laima Česonienė ◽  
Daiva Šileikienė ◽  
Vitas Marozas ◽  
Laura Čiteikė

Twenty-six water bodies and 10 ponds were selected for this research. Anthropogenic loads were assessed according to pollution sources in individual water catchment basins. It was determined that 50% of the tested water bodies had Ntotal values that did not correspond to the good and very good ecological status classes, and 20% of the tested water bodies had Ptotal values that did not correspond to the good and very good ecological status classes. The lake basins and ponds received the largest amounts of pollution from agricultural sources with total nitrogen at 1554.13 t/year and phosphorus at 1.94 t/year, and from meadows and pastures with total nitrogen at 9.50 t/year and phosphorus at 0.20 t/year. The highest annual load of total nitrogen for lake basins on average per year was from agricultural pollution from arable land (98.85%), and the highest total phosphorus load was also from agricultural pollution from arable land (60%).


2006 ◽  
Vol 34 (4) ◽  
pp. 349-359 ◽  
Author(s):  
Ilias Bertahas ◽  
Elias Dimitriou ◽  
Ioannis Karaouzas ◽  
Sofia Laschou ◽  
Ierotheos Zacharias

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