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Academic literature on the topic 'Crop wat 4 windows model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Crop wat 4 windows model"

1

Ebissa, G. K. "Agronomy Study on Small Scale Irrigation Project." INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH Volume 5 |, Issue 2 | May 2017 (2017): Page Number(s) — 1157–1167. https://doi.org/10.5281/zenodo.583717.

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Irrigation development plays an essential role in stabilizing crop production by either supplementing or replacing the need for natural precipitation. Irrigation makes agriculture more confidential. It stabilizes crop production by protecting against drought and by increasing crop yields, increases their income and crops that improve their diet. The field study consists of agricultural surveys, focus group discussion, individual meeting and interviews with farmers, experts from zonal, and woreda office of agriculture. The scope of this volume includes the general presentation of existing crop

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2

Paugh, Kelley R., and Thomas R. Gordon. "Effect of Planting Date and Inoculum Density on Severity of Fusarium Wilt of Lettuce in California." Plant Disease 103, no. 7 (2019): 1498–506. http://dx.doi.org/10.1094/pdis-09-18-1614-re.

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Seven lettuce cultivars were transplanted into a field infested with Fusarium oxysporum f. sp. lactucae (causal agent of Fusarium wilt of lettuce) in August and September of 2014, 2015, and 2016. For moderately susceptible cultivars, 1- or 2-week differences in planting date had a significant effect on severity of Fusarium wilt. In growth chamber experiments, cultivars of moderate susceptibility were maintained in a growth chamber under cool conditions (23/18°C), and a subset of plants was transferred to a warm chamber (33/23°C) for 1 week, at weekly intervals after transplanting. Plants expos

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3

Bustamante, S. Castro, and T. K. Hartz. "Nitrogen Management in Organic Processing Tomato Production: Nitrogen Sufficiency Prediction Through Early-season Soil and Plant Monitoring." HortScience 50, no. 7 (2015): 1055–63. http://dx.doi.org/10.21273/hortsci.50.7.1055.

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Organic processing tomato (Solanum lycopersicum L.) production is a significant industry in California, yet little nitrogen (N) fertility research is available to guide N management. A total of 37 certified organic processing tomato fields in the Sacramento Valley of California were monitored during the 2012 and 2013 production seasons, with two objectives: 1) to document current N management practices and 2) to investigate the utility of early-season soil and plant N monitoring techniques in predicting seasonal crop N sufficiency. Between ≈3 and 11 weeks after transplanting (WAT) soil mineral

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4

Webster, Theodore M., and Richard F. Davis. "Southern Root-Knot Nematode (Meloidogyne incognita) Affects Common Cocklebur (Xanthium strumarium) Interference with Cotton." Weed Science 55, no. 2 (2007): 143–46. http://dx.doi.org/10.1614/ws-06-182.1.

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Southern Root-Knot nematode and common cocklebur interfere with cotton growth and yield. A greater understanding of the interaction of these pests with cotton growth and yield is needed for effective integrated pest management (IPM). An additive design was used in outdoor microplots with five common cocklebur densities (0, 1, 2, 4, and 8 plants per plot) growing in competition with cotton, with and without the presence of southern Root-Knot nematode. Differences in cotton height could not be detected among common cocklebur densities or nematode presence at 3 wk after transplanting (WAT); howev

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5

R. S. RANA, A. B. BHOSALE, RUCHI SOOD, ROHIT SHARMA, and NAVELL CHANDER. "Simulating impact of climate change on mustard (Brassica juncea) production in Himachal Pradesh." Journal of Agrometeorology 13, no. 2 (2011): 104–9. http://dx.doi.org/10.54386/jam.v13i2.1350.

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The study examines the impact of climate change on mustard crop using. Info Crop simulation model after calibration and validation for Sub temperate and sub humid conditions. The IPCC-2004 seasonal climatic scenarios for temperature (0.74ºC for 2020 and 1.71ºC for 2050) for Himachal Pradesh were used to simulate impact of climate change scenarios. The days to flowering, days to physiological maturity and yield indicated the best fit. Under climate change scenarios, days to flowering and days to maturity showed reduction of 1 to 4 and 4 to 19 days for 2020 and 5 to 13 and 10 to 23 days for 2050

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6

K. BHUVANESWARI, V. GEETHALAKSHMI, A. LAKSHMANAN, R. ANBHAZHAGAN, and D. NAGOTHU UDAYA SEKHAR. "Climate change impact assessment and developing adaptation strategies for rice crop in western zone of Tamil Nadu." Journal of Agrometeorology 16, no. 1 (2022): 38–43. http://dx.doi.org/10.54386/jam.v16i1.1484.

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The CERES-Rice model in the Decision Support System for Agro-technology Transfer (DSSAT) was used for assessing the impact of climate change on rice and developing adaptation strategies to sustain rice production in western zone of Tamil Nadu. Model results showed that the rice yield reduction ranged from 4 -56 % with increase in temperature from 1 to 5°C respectively from the current climate under different dates of planting from 1st June to 15th July. The different sowing windows tested as adaptation strategy to climate change indicated that the change in yield from current condition under e

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7

Bascon, Maria Victoria, Tomohiro Nakata, Satoshi Shibata, et al. "Estimating Yield-Related Traits Using UAV-Derived Multispectral Images to Improve Rice Grain Yield Prediction." Agriculture 12, no. 8 (2022): 1141. http://dx.doi.org/10.3390/agriculture12081141.

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Rice grain yield prediction with UAV-driven multispectral images are re-emerging interests in precision agriculture, and an optimal sensing time is an important factor. The aims of this study were to (1) predict rice grain yield by using the estimated aboveground biomass (AGB) and leaf area index (LAI) from vegetation indices (VIs) and (2) determine the optimal sensing time in estimating AGB and LAI using VIs for grain yield prediction. An experimental trial was conducted in 2020 and 2021, involving two fertility conditions and five japonica rice cultivars (Aichinokaori, Asahi, Hatsushimo, Nak

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8

Newton, Peter F. "Croplanner: A Stand Density Management Decision-Support Software Suite for Addressing Volumetric Yield, End-Product and Ecosystem Service Objectives When Managing Boreal Conifers." Forests 12, no. 4 (2021): 448. http://dx.doi.org/10.3390/f12040448.

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The objectives of this study were to develop a stand density management decision-support software suite for boreal conifers and demonstrate its potential utility in crop planning using practical deployment exemplifications. Denoted CPDSS (CroPlanner Decision-support Software Suite), the program was developed by transcribing algorithmic analogues of structural stand density management diagrams previously developed for even-aged black spruce (Picea mariana (Mill) BSP.) and jack pine (Pinus banksiana Lamb.) stand-types into an integrated software platform with shared commonalities with respect to

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9

Karabanov, Georgy, Olouafemi Ricardo Oke, and Alexey Krakhmalev. "AI-driven orchard management: Advancing sustainable apple production through convolutional neural network recognition." E3S Web of Conferences 614 (2025): 03018. https://doi.org/10.1051/e3sconf/202561403018.

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The aim of this study is to develop a convolutional neural network architecture designed for apple recognition in images. The relevance of this task is tied to the need for fruit recognition to automate the process of apple crop harvesting. To reduce computations, it is proposed to convert the image captured by the camera from RGB format to HSV format. Using the example of a red apple, the creation of a bitmask is demonstrated, which allows for the identification of regions of the desired color within the image. A structure and parameters of the convolutional neural network were proposed, alon

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10

Thiombiano, Célestin. "Modelling sowing window effects on grain yield of cowpea varieties: An application of DSSAT CROPGRO-cowpea model in Burkina Faso." International Journal of Biosciences (IJB) 24, no. 6 (2024): 48–59. https://doi.org/10.12692/ijb/24.6.48-59.

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Crop simulation models are part of the modern tools used for improving agricultural production performance. An application exercise of the DSSAT CROPGRO-cowpea model was carried out at two locations in Burkina Faso with the aim of contributing in enhancing agricultural practices for better yield of cowpea, through a seasonal analysis of the grain yield over 33-year period. The objectives were to (i) determining the optimum sowing window of cowpea varieties through a seasonal analysis of the grain yield at Kamboinsin and at Kouare, (ii) analysing the performance of Plant Production Department,

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