Development of Smart Automated Irrigation System

This study is designed to develop an automatic irrigation system that switches (ON/OFF) a pump motor by sensing the moisture content of the soil using wireless technology. Through GSM Modem, the sensed moisture content data will be sent as an SMS to the user. The project uses 8051 series microcontroller, which is programmed to receive the input signal of varying moistures of the soil through sensors. This is achieved by using an op-amp as comparator which acts as interface between the sensing device and the microcontroller. Once the controller receives the signal, it generates an output that drives a relay for operating the water pump. It also sends an SMS to the concerned number using GSM modem. An LCD display is also interfaced to the microcontroller to display the status of the soil and water pump ON/Off condition. The sensing arrangement is made using two stiff metallic rods inserted to the agricultural field required to be in control. Connections from the metallic rods are interfaced to the control unit. This concept can also be enhanced by integrating XBEE/Bluetooth technology, such that whenever the water pump switches ON/OFF, the information is sent to a smart mobile phone or XBEE transceiver module regarding the status of the pump

Estimation of wheat crop evapotranspiration using NDVI vegetation index

The evapotranspiration of the wheat crop grown in Tarafeni South Main Canal (TSMC) irrigation command area of West Bengal, India was estimated based on Normalized Difference Vegetation Index (NDVI) from LANDSAT images. The crop evapotranspiration (ETc) of wheat crop was estimated using the crop coefficient (Kc) maps and the reference evapotranspiration (ETo) in the TSMC irrigation command area. The ETo was estimated from the well known temperature based ETo estimation method, i.e. FAO-24 modified Blaney-Criddle method using measured maximum and minimum air temperatures data during January 2011 in the command area. The Kc maps were mapped in ARC GIS software using procured LANDSAT images for the study period. The area under wheat crop was clipped from land use/land cover map generated from LANDSAT image of January, 2011 for winter season. Further, the crop evapotranspiration map was obtained by multiplying Kc map with the estimated ETo value i.e., 5.76 mm/day for a particular day. The maximum crop evapotranspiration computed for Rabi crop was 5.57 mm/ day, whereas minimum was 1.59 mm/day for the TSMC command area

Enabling community-based metrology for wood-degrading fungi

Background: Lignocellulosic biomass could support a greatly-expanded bioeconomy. Current strategies for using biomass typically rely on single-cell organisms and extensive ancillary equipment to produce precursors for downstream manufacturing processes. Alternative forms of bioproduction based on solid-state fermentation and wood-degrading fungi could enable more direct means of manufacture. However, basic methods for cultivating wood-degrading fungi are often ad hoc and not readily reproducible. Here, we developed standard reference strains, substrates, measurements, and methods sufficient to begin to enable reliable reuse of mycological materials and products in simple laboratory settings. Results: We show that a widely-available and globally-regularized consumer product (Pringles™) can support the growth of wood-degrading fungi, and that growth on Pringles™-broth can be correlated with growth on media made from a fully-traceable and compositionally characterized substrate (National Institute of Standards and Technology Reference Material 8492 Eastern Cottonwood Whole Biomass Feedstock). We also establish a Relative Extension Unit (REU) framework that is designed to reduce variation in quantification of radial growth measurements. So enabled, we demonstrate that five laboratories were able to compare measurements of wood-fungus performance via a simple radial extension growth rate assay, and that our REU-based approach reduced variation in reported measurements by up to ~ 75%. Conclusions: Reliable reuse of materials, measures, and methods is necessary to enable distributed bioproduction processes that can be adopted at all scales, from local to industrial. Our community-based measurement methods incentivize practitioners to coordinate the reuse of standard materials, methods, strains, and to share information supporting work with wood-degrading fungi

Programmable RNA-binding protein composed of repeats of a single modular unit

The ability to monitor and perturb RNAs in living cells would benefit greatly from a modular protein architecture that targets unmodified RNA sequences in a programmable way. We report that the RNA-binding protein PumHD (Pumilio homology domain), which has been widely used in native and modified form for targeting RNA, can be engineered to yield a set of four canonical protein modules, each of which targets one RNA base. These modules (which we call Pumby, for Pumilio-based assembly) can be concatenated in chains of varying composition and length, to bind desired target RNAs. The specificity of such Pumby–RNA interactions was high, with undetectable binding of a Pumby chain to RNA sequences that bear three or more mismatches from the target sequence. We validate that the Pumby architecture can perform RNA-directed protein assembly and enhancement of translation of RNAs. We further demonstrate a new use of such RNA-binding proteins, measurement of RNA translation in living cells. Pumby may prove useful for many applications in the measurement, manipulation, and biotechnological utilization of unmodified RNAs in intact cells and systems.United States. National Institutes of Health (1R01NS075421)National Science Foundation (U.S.) (1344219)United States. National Institutes of Health (1U01MH106011)United States. National Institutes of Health (1R01MH103910)United States. National Institutes of Health (1DP1NS087724

Ship in a bottle: confinement-promoted self-assembly

Understanding self-assembly in confined spaces is essential to fully understand molecular processes in confined cell compartments and will offer clues on the behaviour of simple confined systems, such as protocells and lipid-vesicle based devices. Using a model system composed of lipid vesicles, a membrane impermeable receptor and a membrane-permeable ligand, we have studied in detail how compartmentalization modulates the interaction between the confined receptor and its ligand. We demonstrate that confinement of one of the building blocks stabilizes complex self-assembled structures to the extent that dilution leads, counterintuitively, to the formation of long range assemblies. The behaviour of the system can be explained by considering a confinement factor that is analogous, although not identical, to the effective molarity for intramolecular binding events. The confinement effect renders complex self-assembled species robust and persistent under conditions where they do not form in bulk solution. Moreover, we show that the formation of stable complex assemblies in systems compartmentalized by semi-permeable membranes does not require the prior confinement of all components, but only that of key membrane impermeable building blocks. To use a macroscopic analogy, lipid vesicles are like ship-in-a bottle constructs that are capable of directing the assembly of the confined ship following the confinement of a few key wooden planks. Therefore, we believe that the confinement effect described here would have played an important role in shaping the increase of chemical complexity within protocells during the first stages of abiogenesis. Additionally, we argue that this effect can be exploited to design increasingly efficient functional devices based on comparatively simple vesicles for applications in biosensing, nanoreactors and drug delivery vehicles

Nonlinear Evapotranspiration Modeling Using Artificial Neural Networks

Reference evapotranspiration (ETo) is an important and one of the most difficult components of the hydrologic cycle to quantify accurately. Estimation/measurement of ETo is not simple as there are number of climatic parameters that can affect the process. There exists copious conventional (direct and indirect) and non conventional/soft computing (artificial neural networks, ANNs) methods for estimating ETo. Direct methods have the limitations of measurement errors, expensive, impracticality of acquiring point measurements for spatially variable locations, whereas the indirect methods have the limitations of unavailability of all necessary climate data and lack of generalizability (needs local calibration). In contrast to conventional methods, soft computing models can estimate ETo accurately with minimum climate data which have advantages over limitations of conventional ETo methods. This chapter reviews the application of ANN methods in estimating ETo accurately for 15 locations in India using six climatic variables as input. The performance of ANN models were compared with the multiple linear regression (MLR) models in terms of root mean squared error, coefficient of determination and ratio of average output and target ETo values. The results suggested that the ANN models performed better as compared to MLR for all locations

Influence of plant growth regulators on yield attributes and physical parameters of fruit quality in sapota under the eastern tropical region of India

The present study was conducted at Central Horticultural Experiment Station (ICAR-IIHR), Bhubaneswar, during 2022 and 2023 to evaluate the impact of the application of plant growth regulators on fruit set, yield and physical fruit quality of Sapota (Manilkara zapota L.) cv. DHS-1. The experiment was designed in a randomized completely block design with nine treatments consisting of NAA (50 and 100 ppm), CPPU (5 and 7.5 ppm), SA (150 and 300 ppm) and Homobrassinolide (10 and 15 ppm) and water as control. Treatments were imposed on 24-year-old, uniformly grown sapota trees, planted at 10m x 10m spacing, at flowering, fruit set and one month after fruit set. In general, the application of PGRs was effective in augmenting fruit sets, fruit retention, yield attributes and physical fruit quality over control. However, the application of NAA and CPPU performed better at higher doses. The treatment NAA @100 ppm resulted in the highest fruit set (34.76 %), fruit retention (57.46% at 30 DAFS, 28.48 % at 120 DAFS), yield (47.77 kg/tree) and physical fruit viz. pulp content (93.80%), dry matter (26.15%), fruit length (7.47 cm) and fruit width (6.57 cm). Pearson correlation coefficient analysis showed positive links among fruiting, yield, yield attributing traits and physical fruit quality parameters of sapota, as well as a negative correlation for peel content

Enabling community-based metrology for wood-degrading fungi

Background: Lignocellulosic biomass could support a greatly-expanded bioeconomy. Current strategies for using biomass typically rely on single-cell organisms and extensive ancillary equipment to produce precursors for downstream manufacturing processes. Alternative forms of bioproduction based on solid-state fermentation and wood-degrading fungi could enable more direct means of manufacture. However, basic methods for cultivating wood-degrading fungi are often ad hoc and not readily reproducible. Here, we developed standard reference strains, substrates, measurements, and methods sufficient to begin to enable reliable reuse of mycological materials and products in simple laboratory settings. Results: We show that a widely-available and globally-regularized consumer product (Pringles™) can support the growth of wood-degrading fungi, and that growth on Pringles™-broth can be correlated with growth on media made from a fully-traceable and compositionally characterized substrate (National Institute of Standards and Technology Reference Material 8492 Eastern Cottonwood Whole Biomass Feedstock). We also establish a Relative Extension Unit (REU) framework that is designed to reduce variation in quantification of radial growth measurements. So enabled, we demonstrate that five laboratories were able to compare measurements of wood-fungus performance via a simple radial extension growth rate assay, and that our REU-based approach reduced variation in reported measurements by up to ~ 75%. Conclusions: Reliable reuse of materials, measures, and methods is necessary to enable distributed bioproduction processes that can be adopted at all scales, from local to industrial. Our community-based measurement methods incentivize practitioners to coordinate the reuse of standard materials, methods, strains, and to share information supporting work with wood-degrading fungi