农业农村日报 · 2026-11-11

中国科学院分子植物科学卓越创新中心、上海张江智种中心晁代印研究团队联合华中农业大学严建兵团队，首次鉴定出控制禾本科作物籽粒镍积累的关键转运蛋白ZmNAET1，揭示了镍由茎叶“源”器官长距...

Introduction Low-carbon city pilot policies constitute an important institutional practice for advancing the green and low-carbon transition of agriculture and achieving the “Dual-Carbon” goals. Scientific assessment of the agricultural emission-reduction effects of this policy is critical for land and food security. Methods Based on prefecture-level panel data of China spanning 2005–2024, this paper adopts a multi-period staggered Difference-in-Differences (DID) model to systematically examine the impacts of low-carbon city pilot policies on carbon emissions associated with agricultural inputs, and provides associational evidence on the transmission mechanisms. Given that the conventional two-way fixed-effect multi-period DID may yield potential bias under strong heterogeneity, this study further employs the Callaway-Sant’Anna staggered DID (CS-DID) to estimate the dynamic treatment effects for different cohorts. Multiple robustness strategies including PSM and placebo tests are also applied to validate regression results and improve the credibility of causal inference. Results The study finds that low-carbon city pilot policies significantly reduce regional Agricultural input-related carbon emissions mainly through three pathways: optimizing agricultural factor allocation, forcing the low-carbon transformation of agricultural industrial structure, and improving agricultural energy-use efficiency. Heterogeneity exists in policy effects: western cities achieve the strongest emission-reduction outcomes, provincial-capital cities show substantially stronger carbon-mitigation effects than ordinary prefecture-level cities (significant only at the 10% level in the heterogeneity test), and cities included in the pilot program at an earlier stage deliver greater carbon-reduction efforts for agriculture. Discussion This paper effectively identifies the net agricultural emission reduction effect of the progressive low-carbon policy, supplements empirical evidence on the governance of agricultural non-point source carbon emissions by low-carbon policies, and provides empirical support and decision-making references by region and city administrative level for the national low-carbon transformation of agriculture and the optimization and implementation of differentiated low-carbon policies.

Ensuring food security is a crucial foundation for macroeconomic stability and social welfare. Against the backdrop of intensifying climate change, frequent extreme weather events, and rising uncertainty in agricultural production, identifying systematic and forward-looking adaptation pathways has become increasingly important. This paper examines whether the Climate-Resilient Cities Policy (CRCP) is associated with changes in the spillover effects of food production at the city level in China. Using city-level panel data from China for 2005–2024, the study treats the rollout of the pilot policy as a quasi-natural experiment and employs a multi-period difference-in-differences (DID) framework to estimate the policy’s impact on per capita food production. The results indicate that CRCP is positively associated with increases in per capita grain production in pilot areas, and this finding remains robust after parallel trends tests, placebo tests, PSM-DID estimates, substitution of dependent variables, and control for contemporaneous policies. Mechanism tests suggest that the policy may operate by enhancing agricultural technological innovation, expanding new digital infrastructure, and improving traditional infrastructure conditions. Since these channel analyses are primarily based on city-level indicators rather than direct household-level evidence of intermediation, the findings should be interpreted as potential mechanisms rather than a complete decomposition of causal pathways. Heterogeneity analysis indicates that the policy effects are stronger in prefecture-level cities along the Hu Huanyong Line and in resource-based cities. This paper provides new evidence on the cross-sectoral benefits of urban climate adaptation policies and offers policy implications for integrating climate governance, urban resilience, and food security.

In this paper, we discuss a framework that emerged from our international community of practice, Let’s E.A.T. (Educate for Agroecological Transformation) to emphasize the vital role of knowledge, co-creation, and learning in the promotion of agroecology. We examine transdisciplinary, experiential, and critical pedagogies as distinct but interconnected pedagogical domains that collectively engage the head (cognitive/scientific), hands (practical/embodied), and heart (political/ethical/community). In advocating this Let’s E.A.T. pedagogical framework, we argue that the intentional integration of these domains can foster more holistic, experiential, and thus transformative learning that reflects the multidimensional nature of agroecology. By harnessing the strengths of diverse epistemologies and pedagogical approaches, educators can cultivate critical, embodied, and ethical competencies essential for agroecological transitions. Our framework also includes a spatial dimension, compelling agroecology education to simultaneously weave together place-based education with global solidarity education. This pedagogical approach, which embeds student learning across different agroecological scales of action, is foundational to the formation of critical and transformative agroecologists. We conclude by highlighting the need for collective, internationalist approaches to transforming higher education that support the conditions necessary for the actualization of the Let’s E.A.T. pedagogical approach.

Modelling drivers of agentic AI applications in contract farming in the agricultural supply chain: A systematic literature review。Agricultural Systems

YOLO-Gr: An AIoT-Enabled Mobile–Edge–Cloud Framework with an Improved YOLO26 for Real-Time Grapevine Disease Detection and Smart Vineyard Monitoring。Smart Agricultural Technology

Development and preliminary evaluation of OPTICORN, a decision support tool for nitrogen fertilizer management in corn production。Smart Agricultural Technology

Environment-triggered partition-embedded multi-view monitoring for fish migration in turbid vertical-slot fishways using SPECF-YOLO。Computers and Electronics in Agriculture

LLM-VimAGBNet: an end-to-end inference framework for rice above-ground biomass monitoring with large language model reasoning and frequency-division feature modeling。Computers and Electronics in Agriculture

A five-keypoint geometric perception method for integrated graded robotic harvesting of ridge-cultivated strawberries。Computers and Electronics in Agriculture

VF-FruitRecon: Integrating vision foundation models for tomato fruit 3D reconstruction and size estimation。Computers and Electronics in Agriculture

New algorithm for detecting and measuring individual tree height in Eucalyptus plantations using mobile laser scanning。Computers and Electronics in Agriculture

Multi-domain design of a virtual digital twin for seedling transmission device infield optimization。Computers and Electronics in Agriculture

Prototype-guided relation-preserving continual learning for sheep face identification across growth stages。Computers and Electronics in Agriculture

Multi-step forecasting of grape berry temperature based on LSTM model with feed-forward attention。Computers and Electronics in Agriculture