Sustainable cereal production through integrated crop management: a global review of current practices and future prospects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Among cereals, three crops namely maize, wheat, and rice account for 90% of the total cereal production, with global production levels of 791.2, 522.6, and 1229.63 million tons for wheat, rice and maize, respectively. The global challenges of food insecurity, climate variability, and unsustainable land use necessitate a redefined approach to cereal production, focusing on climate resilience, low vulnerability, and high productivity while establishing food and environmental safety. Integrated crop management (ICM) offers a holistic farming approach that integrates various agricultural practices to ensure long-term benefits and mitigate risks. This comprehensive review examined a total of 108 documented studies from existing literature pertaining to the last 23 years, besides case studies on ICM in rice, wheat, and maize production, analyzing its benefits, challenges, and future directions. In Asian countries, where rice is a staple food, ICM practices have effectively addressed challenges such as yield stagnation, declining profits, and crop failures. Nutrient and pest management, along with conservation agriculture (CA), have played a crucial role in overcoming these challenges. China’s implementation of site-specific management duly integrated with other practices, has successfully reduced excessive nitrogen use besides improved environmental and health outcomes. Sustainable corn production has been achieved in the USA and Africa through comprehensive implementation of CA and crop diversification. Globally, ICM has demonstrated yield increases of 10–19% for rice, 16–30% for wheat, and 13.5–30% for maize crops. Despite having ample potential, the widespread adoption of ICM faces technical, climate-related, and economic constraints. Overcoming these challenges requires targeted training, extension services, and supportive policies. Furthermore, future research should focus on addressing key knowledge gaps to facilitate the widespread implementation of ICM. While promoting climatic resilience and sustainability in cereal production systems, ICM can contribute to food security and environmental preservation globally.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it