In the agriculture industry, plant diseases provide difficulty, particularly for Arabica coffee production. A first step in eliminating and treating infections to avoid crop damage is recognizing ailments on Arabica coffee leaves. Convolutional neural networks (CNN) are rapidly advancing, making it possible to diagnose Arabica coffee leaf damage without a specialist's help. CNN is aimed to find features adaptively through backpropagation by adding layers including convolutional layers and pooling layers. This study aims to optimize and increase the accuracy of Arabica coffee leaf disease classification utilizing the neural network architectures: ResNet50, InceptionResNetV4, MobileNetV2, and DensNet169. Additionally, this research presents an interactive web platform integrated with the Arabica coffee leaf disease prediction system. Inside this research, 5000 image data points will be divided into five classes—Phoma, Rust, Cescospora, healthy, and Miner—to assess the efficacy of CNN architecture in classifying images of Arabica coffee leaf disease. 80:10:10 is the ratio between training data, validation, and testing. In the testing findings, the InceptionResnetV2 and DensNet169 designs had the highest accuracy, at 100%, followed by the MobileNetV2 architecture at 99% and the ResNet50 architecture at 59%. Even though MobileNetV2 is not more accurate than InceptionResnetV2 and DensNet169, MobileNetV2 is the smallest of the three models. The MobileNetV2 paradigm was chosen for web application development. The system accurately identified and advised treatment for Arabica coffee leaf diseases, as shown by the system's implementation outcomes.

The chemical properties of Podsolic Red-Yellow soil have pH is very acidic to slightly acidic, low to moderate percentage of C-organic, low to moderate P, and low status of K, Ca, Mg, Na, and other saturation of bases. Also, the physical characteristics of the Red-Yellow Podsolic soil show a distinctive characteristic, as bulk density soil index of 1.30 - 1.50 g.cm-3, with low water absorption. The chemical and physical properties are bad enough to make Red-Yellow Podsolic soil have a low ability to provide macronutrients needed by plants. Organic matter is proven to be able to control nutrient availability in mineral soils. The potentials for organic material that has been completely decomposed is crumb rubber solid waste. The use of crumb rubber solid waste material as organic material is expected to be able to influence the availability of macronutrients and improve the physical characteristics of the Podsolic Red-Yellow soil. This study aims to find differences in the availability of NH4+ NO3-, H2PO4-, K-exchangeable, C-organic and to compare the treatments that produce the best index of soil bulk density, increase the percentage of water content, and determine the soil temperature of Red-Yellow Podsolic with the application of crumb rubber solid waste with difference level, statistical test with through the index of mean difference Tukey’s test on level α 5%. In this research it was concluded that the application of crumb rubber solid waste could increase soil pH, provide levels of NH4+, NO3-, H2PO4, K-exchangeable, C-organic and reduce soil bulk density index, increase water content and soil temperature compared to not using crumb rubber solid waste. PCr3 treatment showed the highest yield at pH, NH4+, H2PO4, C-organic and increased water content, but it was not significantly different than PCr2 treatment, whereas PCr2 was significantly different from PCr3 in providing NO3-, K-exchangeable.

Paddy cultivation in South Kalimantan is a priority activity undertaken by various parties to create national food security and make Indonesia a world food barn in 2045. Increasing paddy production can always be supported by various supports, marginal swamp investment with various limiting soil fertility and strive for it to be planted with superior paddy varieties. The purpose of this study is to try to utilize ameliorant from coal fuel (fly ash) added to from three soil typology as swampy wetlands, tidal lands, and peat soils to improve the performance and growth of paddy varieties in Inhibrida Padi Rawa 3 (INPARA-3). This study uses a Completely Randomized Design in models nested factorial, using the application of fly ash given to each typology of the soil obtained. This research was conducted at the Greenhouse Faculty of Agriculture, Lambung Mangkurat University, Banjarbaru, South Kalimantan. Giving fly ash in each type of soil is carried out by its bulk density. Fly ash given is 60 t.ha-1which is converted to 309.36 grams in each polybag of soil for soils from swampy land, 374.52 grams in each polybag soil for soil from tidal swamps and 519.56 grams in each polybag peat soil.  From the analysis of the growth and production performance of paddy, planted on peat soils given fly ash, showed positive results on all parameters discussed, but different from the performance and growth of paddy that was planted on the ground from the soil, tides are given fly ash, only showed positive results on plant parameters height, height increase, number of tillers, grain dry weight, and longest roots of paddy. Analysis of growth and production performance was also carried out on paddy in the soil from swampy land, it appeared positive only on the parameters of grain dry weight, plant dry weight (without roots, panicles, and grain).

Tomato is a vegetable commodity that is needed on a large scale so its cultivation needs to be intensified. Tomato production is often constrained due to productivity and limited land, thereby reducing genetic potential and poor fertility. Therefore, intensification measures are needed in optimizing productivity and land limitations, especially the problem of urban farming. Tea dregs and cow dung become potential as well as alternatives in increasing soil fertility, especially for urban farmers who use urban land and yards for cultivation activities. This study aims to determine the effect of the application of a combination of tea dregs and cow dung at an efficient and effective dose on the increase in plant height, leaf surface area, root volume, dry weight of tomato plants. This research was conducted from February 2021 to June 2021 with a factorial randomized block design (RAK) with a BNJ 5% analysis model. The combination treatments used were tea dregs (A) and cow dung (S) with a dose level of A0 = 0 g/polybag; A1 = 10 g/ polybag; A2 = 20 g/ polybag; A3 = 30 g/ polybag; S0 = 0 g/ polybag; S1 = 29.7 g/ polybag; S2 = 44.5 g/ polybag; S3 = 74.2 g/polybag combined between types of materials and dose levels so that there are 16 factorial combinations that were repeated 3 times. The results of this study indicated that treatment of A1S3 was effective and efficient in increasing plant height gain, encouraging the formation of leaf surface area, increasing root growth, and producing tomato plant dry weight.

In Tumih Village, Wanaraya District, Barito Kuala Regency, South Kalimantan Province, this study attempts to assess the strategy and growth of the agricultural sector as well as the level of community engagement in relation to agriculture. The settlement of Tumih itself has excellent potential for agriculture, particularly rice production. The analytical technique used employs the Strength Field Analysis approach to identify development plans and Participation Strength Analysis to identify the level of community involvement in agriculture in Tumih Village while determining the agricultural sector's strategy. The analysis' findings indicate that the key influencing elements for agricultural development plans in Tumih Village are the availability of human resources in the agricultural sector, particularly in the case of rice, and the farmers' receptivity to new technology. A hindrance in Tumih Village is the absence of irrigation and agricultural technologies. With only 36.5 percent, the assessment of the level of community involvement in planning for agricultural growth is still insufficient.