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All Journal Buletin Peternakan International Journal of Advanced Science and Computer Applications
Armstrong, Leisa
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A New Agricultural Drought Index to Characterize Agricultural Drought Using Data Mining Techniques Wankhede, Shubhangi; Armstrong, Leisa; Tripathy , Amiya Kumar
International Journal of Advanced Science and Computer Applications Vol. 4 No. 1 (2025): March 2025
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v4i1.63

Abstract

Drought monitoring is a critical task as its occurrence and extent vary according to many factors like drought type, risk, agricultural losses, and impact. Monitoring drought is important because the footprint of this hazard is larger than that of other natural hazards. Many drought indices are developed to monitor complex drought conditions. The intensity and severity of drought in a particular region and at a particular time can be tracked by the drought indicator. In this research, a new agricultural drought index, Yield-Evapotranspiration Drought Index (YEDI) is developed using crop yield, potential, and reference crop evapotranspiration. Data mining and Neural Network techniques have been used to model the drought index. The agricultural and climatic data used is selected from the year 1983 to 2015 (33 years) from the period of June to October (Kharif period) for Maharashtra state in India. The drought index generates the positive values which are further divided into a range of high, medium, and low intensities of drought. SPI and SPEI indices are used for validation against YEDI. Results show that there is a correlation between YEDI and SPEI whereas a low correlation is between YEDI and SPI. YEDI proves to be useful for agricultural drought monitoring.
Characteristic Morphology and Biomass Production of Napier Grass (Pennisetum purpureum) Cultivar Gama Umami Under Teak Tree (Tectona grandis) Shade in Blora, Central Java Muafi, Muhammad Zayyan; Umami, Nafiatul; Suhartanto, Bambang; Suwignyo, Bambang; Haq, Miftahush Shirotul; Suseno, Nilo; Widiyatno, Widiyatno; Armstrong, Leisa; Cook, David; Prasojo, Yogi Sidik
Buletin Peternakan Vol 48, No 2 (2024): BULETIN PETERNAKAN VOL. 48 (2) MAY 2024
Publisher : Faculty of Animal Science, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21059/buletinpeternak.v48i2.95016

Abstract

This study aims to determine the characteristic morphology and biomass production of Napier grass (Pennisetum purpureum) cultivar Gama Umami under teak tree (Tectona grandis) shade in teak tree forest area of Blora, Central Java. The grass was planted using stem cuttings and maintained for four months using the randomized block design (RBD) method with six repetitions in each treatment. This study consisted of two treatments, namely shade under teak tree stands and non-shade or open area as a control. Maintenance was carried out for 14 weeks with the addition of fertilizers, such as NPK (nitrogen, phosphor, and potassium) and urea. Parameters measured included plant height, leaf length, leaf width, first collar length, number of tiller, and stem diameter. After 14 weeks the plants were harvested, and biomass production data were obtained. The results showed that there were no differences in leaf length, leaf width, first collar length, number shoots, and stem diameter between under the shade and non-shade of teak trees. However, the plant height and biomass production of Napier grass cultivated in non-shade teak trees were higher than under the shade of teak trees. The finding showed that Napier grass cultivar Gama Umami could be cultivated under the shade of teak tree forest and introduce for silvopasture system in teak trees forest area.
Co-Authors Bambang Suhartanto Bambang Suwignyo Cook, David Haq, Miftahush Shirotul Muafi, Muhammad Zayyan Nafiatul Umami Nilo Suseno, Nilo Prasojo, Yogi Sidik Tripathy , Amiya Kumar Wankhede, Shubhangi Widiyatno