A Maize Crop Yield Optimization and Healthcare Monitoring Framework Using Firefly Algorithm through IoT

Author(s):  
S K Rajesh Kanna ◽  
V. Nagaraju ◽  
D. Jayashree ◽  
Abdul Munaf ◽  
M. Ashok
2019 ◽  
Vol 18 (1) ◽  
pp. 123-132
Author(s):  
CRIZ RENÊ ZANOVELLO ◽  
FABIANO PACENTCHUK ◽  
JAQUELINE HUZAR-NOVAKOWISKI ◽  
GUILHERME ZAMBONIN ◽  
ANTHONY HASEGAWA SANDINI ◽  
...  

RESUMO – O milho é uma planta monoica, e a geração de novos híbridos exige a remoção do pendão das plantas.Sabe-se que a remoção do pendão possui efeito negativo na produtividade da cultura. Contudo, a aplicação de Ncomplementar, via foliar, poderia minimizar essas perdas. Assim, o objetivo deste estudo foi avaliar como o Ncomplementar afeta a produtividade e os componentes de rendimento da cultura do milho submetida ao despendoamento.O estudo foi conduzido em delineamento de blocos casualizados em esquema fatorial 2 x 3 x 5, sendo duas safras(2014/15 e 2015/16), três momentos de despendoamento (sem despondoamento, arranquio de 2-3 folhas e arranquiode 4-5 folhas antes do pendoamento) e cinco doses de N complementar (0, 5, 10, 15, 20 L ha-1) aplicadas no estádio depré-pendoamento (VT). Não foi verificada interação N complementar X despendoamento para nenhuma das variáveisestudadas. A menor produtividade foi verificada no despendoamento de 4-5 folhas. A aplicação de N complementaraumentou a produtividade da cultura do milho, e a aplicação de 11,5 L ha-1 incrementou a produtividade em 448 kgha-1. O despendoamento diminuiu a produtividade da cultura do milho, quanto mais precoce o despendoamento, maisnegativo é o efeito na produtividade.Palavras-chave: Melhoramento genético, N complementar, pendoamento, produção de sementes, Zea mays.FOLIAR APPLICATION OF COMPLEMENTARY NITROGEN,IN MAIZE SUBJECTED TO DETASSELINGABSTRACT – Maize is a monoic plant and the generation of new hybrids requires the removal of the tassel from theplants, which has a negative effect on crop yield. However, the use of complementary leaf nitrogen (N) fertilization,could minimize the yield losses. Therefore, the objective of this study was to evaluate the effect os the application ofcomplementary N affects on yield of the maize crop subjected to detasseling. The study was carried out in a randomizedcomplete block design, with a 2 x 3 x 5 factorial scheme and four replications. Two growing seasons (2014/15 and2015/16), three detasseling moments (without detasseling, detasseling of 2-3 leaves, and detasseling of 4-5 leaves)and five doses of complementary N (0, 5, 10, 15, 20 L ha-1) applied at the VT stage. There was no interaction betweencomplementary N and detasseling for any of the variables studied. The lowest yield was verified with the detasselingof 4-5 leaves. The application of complementary N showed a positive effect on maize yield, and the application of 11.5L ha-1 of complementary N provided yield increase of 448 kg ha-1. The detasseling technique had negative effects onmaize crop yield, the earlier is the detasseling, the more negative is the effect on yield.Keywords: Genetic improvement, Seed production, tasseling, Zea mays.


2019 ◽  
Vol 127 ◽  
pp. 126-135 ◽  
Author(s):  
Ram Chandra Choudhary ◽  
R.V. Kumaraswamy ◽  
Sarita Kumari ◽  
S.S. Sharma ◽  
Ajay Pal ◽  
...  

2017 ◽  
Vol 9 (5) ◽  
pp. 1293-1309 ◽  
Author(s):  
Prabal Verma ◽  
Sandeep K. Sood ◽  
Sheetal Kalra

Machine learning Has performed a essential position within the estimation of crop yield for both farmers and consumers of the products. Machine learning techniques learn from data set related to the environment on which the estimations and estimation are to be made and the outcome of the learning process are used by farmers for corrective measures for yield optimization. This paper we explore various ML techniques utilized in crop yield estimation and provide the detailed analysis of accuracy of the techniques.


2021 ◽  
Vol 114 ◽  
pp. 23-43 ◽  
Author(s):  
Farman Ali ◽  
Shaker El-Sappagh ◽  
S.M. Riazul Islam ◽  
Amjad Ali ◽  
Muhammad Attique ◽  
...  

2016 ◽  
Vol 2 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Saraswati Neupane ◽  
Ghanashyam Bhandari ◽  
Sheela Devi Sharma ◽  
Surendra Yadav ◽  
Subash Subedi

The stem borer (Chilo partellus Swinhoe) is one of the most destructive pests of maize crop. Research experimentations were carried out on maize to control stem borer using conventional pesticides under field condition during summer season of two consecutive years from 2015 to 2016 at Rampur, Chitwan. All used pesticides had significant effect (P≤0.05) on percent damage and crop yield over control. In 2015, the lower percent damage (5.3%) with higher crop yield (4.52 t ha-1) and lowest insect score (1.00) was observed in plot sprayed with spinosad 45% EC at 0.5 ml L-1 of water followed by plot treated with chloropyriphos 50% EC+cypermethrin 5% EC @1.5ml L-1 of water with percent damage of 6.60%, crop yield (4.23 t ha-1) and insect score of 1.60. Almost similar trend of insect incidence along with damage percentage and yield data were observed in 2016. The higher percent damage control (79.06%) was observed at the plot sprayed after spinosad 45% EC at 0.5 ml L-1 of water with higher crop yield (4.58 t ha-1) and lowest insect score (1.00) followed by the plot treated with imidacloprid 17.8% @ 0.5 ml L-1 of water with percent damage control of 73.10 %, crop yield (3.38 t/ha) and insect sore 1.50. The highest percent damage (20.63%) was observed in the control plot with lower yield (0.95 t ha-1) and highest insect score (6.00). Over the years, spinosad 45% EC at 0.5 ml L-1 of water was effective bio-pesticide to control maize stem borer damage and also increase the yield.


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