In 2013, the government officially approved the construction task of developing high-standard farmland, which had been written into the outline of the “12th Five-Year Plan”, the “13th Five-Year Plan” and the “14th Five-Year Plan”, effectively ensuring the sustainable development of farmland with high and stable yield in China. Moreover, with the rapid progress of urbanization and industrialization, the quality and usage of cultivated land have changed greatly, and the relationship between the economic value, social value and ecological value of land has become increasingly prominent. Whether the development of high-standard farmland, especially the high-standard farmland used for grain production, has achieved the goals of increasing farmers’ income, agricultural output and rural development is not clear. Therefore, it is necessary to evaluate the comprehensive benefits of high-standard farmland development in grain production, so as to scientifically measure the results of the development. From the perspective of economic, social and ecological benefits, this paper establishes an entropy weight evaluation index system and a model to evaluate the level and effectiveness of high-standard farmland development from 2013 to 2020 in China. The results show that the high-standard farmland development project has improved the yield of grain and the basic productivity of cultivated land, effectively increased the yields of land in the project area and promoted the protection and improvement of cultivated land quality, which includes soil quality improvement, soil fertility enhancement, pollution control and soil remediation. The project also helped raise the farmers’ income levels and improved farmers’ agricultural knowledge and skills in the project area. The projects are very beneficial for agricultural production, the farmers’ income and rural development. However, there is still a certain gap between the national average level of improvement and the original goal set in the policy. The average grain yield per mu (Note: 1 mu ≈ 0.0667 ha, similarly hereinafter) was expected to be increased by less than 100 kg (the national average was a 40 kg increase), and the degrees of improvement in economic, social, ecological and comprehensive benefits in different project types were also different. In the future, we suggest that the project should be implemented according to local conditions and the features of each region. We should pay attention to the protection of basic farmland quality and further improve grain output to achieve the goal of stabilizing and increasing production.

This paper explores the effect of meteorological factors such as rainfall, temperature, sunshine, wind speed, and relative humidity on the yield of maize (Zea mays L.) and sorghum (Sorghum bicolor L.) at different growth stages in Togo’s Plateau, Central, and Savannah regions. For this purpose, data from 1990 to 2019 on weather variables and maize and sorghum yields were used. The study applied Fisher’s meteorological regression and Chebyshev polynomial function. Our findings revealed that rainfall had a more beneficial than detrimental effect on maize and sorghum yield across stages and regions. Contrariwise, temperature influence was as beneficial as detrimental and more significant across all growth stages of maize and sorghum in the Savannah and Plateau regions. Furthermore, the sunshine effect on maize yield was more significant in the Central and Savannah regions, while negative on sorghum yield in all the growth stages in the Central region. Similarly, the wind speed was also beneficial and detrimental to maize and sorghum yields, although it was more significant for sorghum in Plateau and Savannah regions. Lastly, relative air humidity positively and negatively influenced maize and sorghum yields in all the growth stages and regions for maize and the Plateau and Savannah regions for sorghum. Therefore, there is a need for real-time agricultural meteorological information to help farmers plan crop production more efficiently and increase crop yield.

This study provided insights into the availability and use of agricultural information by small scale farmers in the Mbeya Region of Tanzania. The research used structured questionnaires to interview 240 rice farmers in the Mbeya region. The findings revealed that farmers accessed agricultural information from various agents including local government extension staff, neighbors and friends, advertisements, electronic media including the internet, television, radio, and other channels. The identified technological information application methods included by lectures, field demonstrations, exposure visits to various places, and printed production. The majority of farmers perceived to have dissatisfied (43%), strongly dissatisfied (25%), strongly satisfied (20%), satisfied (8%), and no opinions (4%) concerning accessibility to agricultural information and technological services. The majority of farmers claimed that both agricultural information and technological communication are strongly needed for agricultural performance. The study suggests that government and non-government organizations should collaborate to bridge the existing information-sharing gap between farmers and information providers.

The study was conducted to cultivate the understanding of different weather perceptions as well as indicators by rice farmers of Mbarali and Kyela districts in Mbeya region of Tanzania. Primary and secondary data were obtained from the research area and Tanzania Meteorological Agency. Garret technique and Multipredictor logistic regression were applied for data analyses. The result shows that farmers have different perceptions on various weather variables like rainfall, temperature, drought, wind, and floods. Likewise with logistic regression is affirmed that awareness towards weather variations increased by 0.60 times and 2.0 times if farmer's education and extended floods each increase one times respectively. In addition, various weather variability indicators like lack of enough rainfall, increase in temperature, drying of tender tree leaves, and severe sunshine were identified. More so, factors hampering immediate local adaptations to weather variability were also identified. Authors recommended on establishment of a working coordination mechanism by incorporating local perceptions, indicators, and adaptions to rescue rural communities from the ongoing food insecurity threats.