Yousefian et al., 2021 - Google Patents
Yield gap assessment in rice-grown fields using CPA and BLA approaches in northern IranYousefian et al., 2021
- Document ID
- 13389402665964456805
- Author
- Yousefian M
- Soltani A
- Dastan S
- Ajamnoroozie H
- Publication year
- Publication venue
- International Journal of Plant Production
External Links
Snippet
Narrowing the yield gaps is one of the major concerns in developing countries. Closing yield gap to obtain attainable yield is a viable option for providing information regarding the reason of yield loss. Hence, accurate estimation of the yield gap has many practical …
- 241000209094 Oryza 0 abstract description 50
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
- A01B79/00—Methods for working soil
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G7/00—Botany in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Pedersen et al. | Precision agriculture–from mapping to site-specific application | |
| EP3664591B1 (en) | Machine learning in agricultural planting, growing, and harvesting contexts | |
| Ahmad et al. | Application of the CSM-CERES-Rice model for evaluation of plant density and nitrogen management of fine transplanted rice for an irrigated semiarid environment | |
| Mandal et al. | Precision farming for small agricultural farm: Indian scenario. | |
| Tittonell et al. | Heterogeneity of crop productivity and resource use efficiency within smallholder Kenyan farms: soil fertility gradients or management intensity gradients? | |
| Andert et al. | On-farm pesticide use in four Northern German regions as influenced by farm and production conditions | |
| Zandstra | A methodology for on-farm cropping systems research | |
| Dogliotti et al. | Systematic design and evaluation of crop rotations enhancing soil conservation, soil fertility and farm income: a case study for vegetable farms in South Uruguay | |
| Hajjarpoor et al. | Using boundary line analysis to assess the on-farm crop yield gap of wheat | |
| Nungula et al. | Land degradation unmasked as the key constraint in sunflower (Helianthus annus) production: Role of GIS in Revitalizing this vital sector | |
| Patil Shirish et al. | Precision farming: The most scientific and modern approach to sustainable agriculture | |
| Peltonen-Sainio et al. | Pre-crop values from satellite images for various previous and subsequent crop combinations | |
| Getnet et al. | Yield gaps and resource use across farming zones in the central rift valley of Ethiopia | |
| Courault et al. | STICS crop model and Sentinel-2 images for monitoring rice growth and yield in the Camargue region: STICS crop model and Sentinel-2 images for monitoring rice growth and yield in the Camargue region | |
| Meena et al. | Fertilizer recommendations by using different geospatial technologies in precision farming or nanotechnology | |
| Afzal et al. | Precision agriculture: Making agriculture sustainable | |
| Baudron et al. | How to increase the productivity and profitability of smallholder rainfed wheat in the Eastern African highlands? Northern Rwanda as a case study | |
| Yousefian et al. | Yield gap assessment in rice-grown fields using CPA and BLA approaches in northern Iran | |
| Adekunle | Precision agriculture: Applicability and opportunities for Nigerian agriculture | |
| Mohammadzadeh et al. | Analyzing the rainfed wheat yield gap in Northwest Iran | |
| Nezamzadeh et al. | Factors causing yield gap in rape seed production in the eastern of Mazandaran province, Iran | |
| Koocheki et al. | Simulating resilience of rainfed wheat–based cropping systems of Iran under future climate change | |
| Kubiku et al. | Enhancing nitrogen and rainwater use efficiency through rainwater harvesting in semi-arid smallholder sorghum (Sorghum bicolor) farming systems | |
| Davis et al. | Precision agriculture technologies-relevance and application to sugarcane production | |
| Nehbandani et al. | Use of interpretive machine learning and a crop model to investigate the impact of environment and management on soybean yield gap |