Book of Extended summaries ISDA
Share Embed Flag
Download ePaper

Book of Extended summaries ISDA

Book of Extended summaries ISDA Book of Extended summaries ISDA

icar39281
20.12.2022 Views

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad T5-29P-1345 Investigations on Chopping-Cum-Tilling-Cum-Mixing Machine for Straw Incorporation Abhishek Patel * , Krishna Pratap Singh, Ajay Kumar Roul, Rohit Dilip Nalawade and Aman Mahore ICAR- Central Institute of Agricultural Engineering, Bhopal * abhishekpatel2910@gmail.com Ex situ and in situ management approaches are preferable methods for straw management. The developed chopping unit is an in-situ technology that consists of two vertical counter rotating shafts with four serrated blades each. This research is about the construction of a straw chopping cum incorporation unit that uses a rotary impact cutter to cut paddy straw and a rotary tiller to mix it. This mechanism is made up of two vertical shafts, each with two pairs of serrated blade flanges and a rotary tiller behind them. The statnding and loose paddy straw are cut with the chopping unit, and the pieces of straw are mixed into the soil with the rotary tiller. The machine was put to the test in a freshly harvested rice field, and its performance was compared to that of existing straw incorporation machines such the super seeder, mulcher integrated with rotavator, and rotavator solely with the designed CIAE chopping cum incorpoation unit. All of the machines were evaluated on the basis of mixing index (MI), pulverisation index (PI) or mean weight diameter (MWD), and bulk density at 3 km/hr forward speed, 40% soil moisture and 17% straw moisture. The PI of the superseeder, mulcher integrated with rotavator, rotavator alone, and CIAE developed chopping cum incorporation unit were (9.03, 8.60, 10.20, and 8.42 mm), MI (85.18, 91.18, 28.38, and 96.59%) and BD (1.365, 1.360, 1.390, and 1.32 g/cm 3 ), on the other hand. All of the combinations were subjected to a paired t test, which revealed significant differences between them. According to the results of the evaluation, the CIAE-developed machine outperformed all the equipment under study. Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment 766 | Page

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad T5-30P-1350 Hyperspectral Reflectance: A Promising Tool to Assess the Metabolic Responses to Drought Stress in Sugarcane Vinay Hegde 1,2* , Debasmita Mohanty 1 and Jagadish Rane 1 1 ICAR National Institute of Abiotic Stress Management, Baramati, Maharashtra 2 Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra. * vinayhegde4189@gmail.com The deterioration of ecological balance and global climate anomalies have led to enhanced frequencies of water scarcity, and drought is emerged as a major impediment to the expansion of agricultural production. This emphasizes enhanced impetus to development of drought tolerant cultivars that can be climate smart. The approaches being currently followed are not sufficient to achieve this target though there have been significant advances in our understanding about the mechanisms of tolerance to soil moisture stress and possible application of genomics for genetic improvement of crops. In this context, the underlying bottleneck in understanding the manoeuvrable phenotypic responses are being addressed through phenomics. This advanced approach of characterizing plants depends on non-invasive techniques involving different sensors and automation, Hyperspectral sensors have great potential to reveal genetic variability in responses of crop plants to environmental stimuli including those due to drought. By integrating this technique in high-throughput field phenomics, hyperspectral signatures could be more effectively utilized to address the breeding challenges posed by global climate change. For breeding and management strategies to be beneficial in increasing water usage efficiency, it is essential to have deeper insights into drought impacts on crops at different scales starting from whole plant to cellular level. In order to develop a rapid and non-destructive substitute for conventional methods of evaluating plant traits related to drought response, we employed hyperspectral measurement technique for detection of proline, the key stress metabolite generated by plants during stress. We assessed spectral signatures in leaves of sugarcane seedling exposed to drought in a glasshouse. Leaf metabolite concentrations, as contrasted to physiological features, detected drought stress before it was perceptible to the naked eye with validation of R 2 value. The results of our experiments explain the efficacy of hyperspectral data to the detection of a proline in response to stress in plants. These scientific leads can be carried forward to design phenomics protocols for screening large number of genotypes of sugarcane for identification of relevant genes contributing to drought tolerance. These can also guide decision support systems to design precision agriculture. 767 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &<br />

Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad<br />

T5-29P-1345<br />

Investigations on Chopping-Cum-Tilling-Cum-Mixing Machine for Straw<br />

Incorporation<br />

Abhishek Patel * , Krishna Pratap Singh, Ajay Kumar Roul, Rohit Dilip Nalawade and<br />

Aman Mahore<br />

ICAR- Central Institute <strong>of</strong> Agricultural Engineering, Bhopal<br />

* abhishekpatel2910@gmail.com<br />

Ex situ and in situ management approaches are preferable methods for straw management. The<br />

developed chopping unit is an in-situ technology that consists <strong>of</strong> two vertical counter rotating<br />

shafts with four serrated blades each. This research is about the construction <strong>of</strong> a straw<br />

chopping cum incorporation unit that uses a rotary impact cutter to cut paddy straw and a rotary<br />

tiller to mix it. This mechanism is made up <strong>of</strong> two vertical shafts, each with two pairs <strong>of</strong> serrated<br />

blade flanges and a rotary tiller behind them. The statnding and loose paddy straw are cut with<br />

the chopping unit, and the pieces <strong>of</strong> straw are mixed into the soil with the rotary tiller. The<br />

machine was put to the test in a freshly harvested rice field, and its performance was compared<br />

to that <strong>of</strong> existing straw incorporation machines such the super seeder, mulcher integrated with<br />

rotavator, and rotavator solely with the designed CIAE chopping cum incorpoation unit. All <strong>of</strong><br />

the machines were evaluated on the basis <strong>of</strong> mixing index (MI), pulverisation index (PI) or<br />

mean weight diameter (MWD), and bulk density at 3 km/hr forward speed, 40% soil moisture<br />

and 17% straw moisture.<br />

The PI <strong>of</strong> the superseeder, mulcher integrated with rotavator, rotavator alone, and CIAE<br />

developed chopping cum incorporation unit were (9.03, 8.60, 10.20, and 8.42 mm), MI (85.18,<br />

91.18, 28.38, and 96.59%) and BD (1.365, 1.360, 1.390, and 1.32 g/cm 3 ), on the other hand.<br />

All <strong>of</strong> the combinations were subjected to a paired t test, which revealed significant differences<br />

between them. According to the results <strong>of</strong> the evaluation, the CIAE-developed machine<br />

outperformed all the equipment under study.<br />

Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment<br />

766 | Page

logo

products

Resources

Company

Terms of service
Privacy policy
Cookie policy
Cookie settings
Imprint
Change language
Made with love in Switzerland
© 2024 Yumpu.com all rights reserved

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!